FX Trading Technology | Canary Wharf, LondonContract Length3 to 6 months, with potential to extend to 12 monthsLocationCanary Wharf, London (4 days in the office, 1 day from home)Salary£27,000Start DateImmediateWorking Hours9:00am to 5:00pm, with some flexibility on start time (e.g. 8:00am starts)Reports ToHead of Operations and Business Management, with day-to-day supervision from a Quant on the teamInterview ProcessInitial interview (approx. 20 minutes) followed by a Python assessmentAbout the BusinessA leading Electronic Communication Network for global FX trading, forming part of a major exchange group. The business gives clients, including retail brokers, institutions, banks, hedge funds and proprietary trading firms, access to deep, diversified liquidity through award-winning, ultra-low-latency trading technology capable of handling thousands of clients simultaneously.The RoleThis is a hands-on internship working directly with the Head of Operations and Business Management, and supervised day-to-day by a Quant, on a focused, high-value automation project: replacing a manual invoicing and billing process with a robust, code-based solution.Today, this process involves pulling data from separate systems, applying exceptions logic, running multi-stage validations, and a significant amount of manual intervention to produce final files. You will learn the process in full, then build the Python tooling that makes it largely self-running.Key ResponsibilitiesWork closely with the operations team to map the existing invoicing process end-to-end: data sources, transformation logic, exception rules, validation steps and manual outputs.Translate that process knowledge into a clear technical specification for the automation solution.Build a Python-based pipeline that ingests data from multiple source systems, applies business rules and exception handling, runs the required validation checks, and generates accurate, client-ready invoices.Work with a large, data-heavy spreadsheet and encode its logic accurately in code, applying strong attention to detail throughout.Reduce manual copy-paste steps through scripted data transformation and output templating.Build a robust solution: handle edge cases, surface errors clearly, and keep outputs auditable.Document the solution clearly so it can be maintained, extended and handed over.Present progress at key milestones to the Head of Operations and other stakeholders.What We're Looking ForThis is not a software engineering role. We are not looking for a computer science background or formal software development experience, no specific university or degree subject is required. What matters is real, hands-on Python experience and a careful, detail-focused approach to working with data.Essential:Proven, hands-on Python experience, gained through real projects rather than coursework aloneComfortable working with Pandas; prior hands-on use is preferred.Strong Excel skills: able to open a complex, formula-heavy workbook built by someone else, understand its logic, and translate that into code.Experience working with large, detailed datasets, with the attention to detail needed to encode business logic accurately, including exception paths.A rigorous approach to validation: you design for edge cases, not around them.Clear communication: able to explain what you have built and why to a non-technical audience.Follows good coding practice and writes clean, readable, maintainable code.Preferred:Background or coursework in finance, economics, fintech or a related field is a plus, but not essential.ProcessA short initial interview (around 20 minutes) followed by a Python test. The assessment is not about completing every part of it. It is about how you approach the problem and the quality of the work you produce.....Read more...
Graduate / Junior Developer, Python, Linux, C#, Java - London
(Teck stack: Graduate / Junior Developer, Python, Linux, C#, Java, .NET 10.0, C#, J2EE, Agile, TDD, BDD, Graduate / Junior Developer)
Since 2006 our client’s revolutionary marketing software platform has been helping businesses all over the world to attract, engage, and delight customers by delivering inbound experiences that are relevant, helpful, and personalized. Having recently launched in the UK, they looking to hire Graduate / Junior Developer (Python, Linux, C#, Java)) to become a part of their ever-growing family.
They believe that individual developers are in the best position to make decisions about what should be created, and how it should be built. Within their setup those decisions are made by small teams of three or four developers who own each piece of their product. This autonomy allows them to deploy 200+ times each day. They believe that problems are solved with technology and experience, not process, and that mistakes are a normal part of learning.
These roles would be suitable Graduate / Junior Developer who have recently graduated from university and have a basic understanding of any of the following technologies: Python, Linux, C# or Java; which might have been acquired as part of your degree course or through a placement year in industry.
At the center of our client’s culture is freedom and openness which takes a lot of people by surprise. But the good kind of surprise, like a birthday party!
Their benefits include the following:
Private medial healthcare (family plan included).
Bonus (12%).
Student loan reimbursement. They will pay £5,000 per year towards the outstanding balance of your student loan.
Unlimited holiday allowance.
Company pension.
Free books and beers, and a 24/7 snack wall!
Our client is building a company people love. A company that will stand the test of time. So, they invest in their people, and optimize for your long-term happiness. If you would like to explore the possibility of joining their family can you please send your CV without delay.
Location: London, UK / Remote Working
Salary: £30,000 - £40,000 + Bonus + Pension + Benefits
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
Applicants must be based in the UK and have the right to work in the UK even though remote working is available.
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Embedded Hardware Engineer - Power Electronics - Aargau, SwitzerlandMandatory Skillset: FPGA/VHDL, Java or C/C++Nice to have's: Python, Siemens PLC, Maven/Ant, SQL Server, Linux, Docker, GIT, Jenkins, Sonatype Nexus
Our Client:Is a pioneering, family-owned Swiss company specialising in power electronics that designs, manufactures, and supplies high-power RF amplifiers and transmitters for various industries, including broadcasting, telecommunications, military and defence, and scientific research.
Job Summary:We seek a highly skilled Embedded Hardware Developer with a background in Electronic Engineering and experience in FPGA/VHDL to join our client's team. As an Embedded Hardware Developer, you will design, develop, and maintain simulated signal-processing systems, combining C++, Java or Python with FPGA/VHDL.
Your Tasks:
Development and simulation of complex signal processing systems
Design and verification of simulated signal processing system with hardware (mainly FPGA/ VHDL)
Design and development of PCB for control systems
Maintenance and further development of the internal firmware environment and hardware
Commissioning and tests of control systems
Required Skills:
Master’s or Bachelor’s degree in electrical science or similar education
Experience in signal processing, FPGA designs and VHDL programming
Experience in PCB development for control systems
Knowledge of component-oriented design with JAVA OSGI/RCP, with SPS programming (Siemens) and with Python as a plus
Alternatively, strong C++ skills are welcome
Good language skills in English and German (both spoken and written)
Positive work attitude. Collaborative team player with excellent communication skills to support team members
Ability to work in interdisciplinary teams
Benefits:
CHF 100 -130k + Bonus Benefits
Opportunity to work on exciting projects
Collaborative and dynamic international team environment
Remote work options with flexible working hours
Professional development opportunities and mentorship
Comprehensive benefits package, including health insurance, retirement plan, and more
Access to cutting-edge technologies and tools
Recognition and rewards for outstanding performance
30 Days Annual Leave
Location: Aargau, Baden, Switzerland (Remote)Salary: CHF 100 -130k + Bonus Benefits
Mandatory Skillset: FPGA/VHDL, Java or C/C++Nice to have's: Python, Siemens PLC, Maven/Ant, SQL Server, Linux, Docker, GIT, Jenkins, Sonatype Nexus
Applicants for the Senior Software Engineer position must be based in Switzerland
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Graduate / Junior Developer, Python, JavaScript, PHP - London
(Tech stack: Graduate / Junior Developer, Python, JavaScript, PHP, Graduate / Junior Developer)
In 2012 our client launched a social messaging platform that has been taking the US by storm. After an extremely successful period our client has decided to hop across the Atlantic, in a bid to expand their sphere of influence and take up a firm foothold in the UK and European markets.
A number of new offices are being opened in the UK and our client is looking for talented, enthusiastic and passionate Graduate / Junior Developer to bring their product to these new markets and help enhance this already successful company!
These roles would be suitable Graduate / Junior Developer who have recently graduated from university and have a basic understanding of any of the following technologies: Python, JavaScript, PHP, React, React Native, Django, Postgres, Docker and Agile; which might have been acquired as part of your degree course or through a placement year in industry.
All Graduate / Junior Developer positions come with the following benefits:
30 days holiday (plus 8 UK Bank Holidays).
Flexible working hours
An early finish on Fridays that fall in the months of June, July and August.
£10,000 training allowance including attendance of Microsoft events and conferences.
4 days a month innovative time.
Free gym membership including yoga sessions.
Summer BBQs.
Birthday bonus package – including time off work on your birthday, dinner at a top restaurant or a paid day trip to a European destination.
Location: London, UK / Remote Working
Salary: £35,000 - £50,000 + Bonus + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK even though remote working is available.
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Senior Software Engineer - Aerospace - Ulm (Remote)(C#, SQL Server, TypeScript, JavaScript, Python, Angular)
We are seeking an experienced Senior Software Engineer to join a leading company in the field of aerospace technology and engineering. As a Senior Software Engineer, you will play a crucial role in designing, maintaining, and developing cutting-edge aerospace applications. Our client is responsible for the technologies in pilot cockpits for some of the biggest airlines inculding Boeing, American Airlines and Ryanair.
Requirements:
Experience with programming languages such as C#, TypeScript/JavaScript, and Python
Familiarity with libraries and frameworks such as Angular
Knowledge of interfaces such as Graph, REST, Protocol Buffers, and gRPC
Experience with databases such as PostgreSQL, SQL Server, and Timescale DB
Experience with Agile development methodologies and version control systems such as Git
Fluency in German (C1 level or above).
Leadership experience welcome
Responsibilities:
Design, develop, test, and maintain software applications using various programming languages and frameworks.
Develop and implement algorithms and data structures to optimize system performance and efficiency.
Participate in the design and development of new software features and applications.
Coding with C#, SQL Server, TypeScript, JavaScript, Python, Angular
Benefits:
Competitive salary: €60,000 - €90,000 + Bonus Benefits
Opportunity to work on exciting projects
Collaborative and dynamic international team environment
Remote work options with flexible working hours
Professional development opportunities and mentorship
Comprehensive benefits package, including health insurance, retirement plan, and more
Access to cutting-edge technologies and tools
Recognition and rewards for outstanding performance
30 Days Annual Leave
Location: Ulm (Remote)
Salary: €60.000 - €90.000 + Bonus Benefits
Applicants for the Senior Software Engineer position must be based in Germany.
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NC/TC/ULM6090....Read more...
Senior AI Software Developer – FinTech Innovation Platform – Bern / Hybrid
(Key skills: AI Software Development, Java, Python, Machine Learning, Generative AI, LLMs, Cloud Platforms, Azure, AWS, API Development, Data Engineering, Agile, FinTech)
Our client, an innovative financial technology business based in Bern, is investing heavily in AI-driven platforms designed to modernise financial operations, automate workflows and improve customer experiences. As part of this growth, they are seeking a Senior AI Software Developer to help architect and deliver scalable AI-powered applications across the organisation.
In this role, you will design, develop and implement intelligent software solutions leveraging modern AI and machine learning technologies. You will work across the full software development lifecycle, building scalable backend services, integrating AI models and collaborating closely with product, engineering and business teams to translate complex requirements into production-ready solutions. Experience working with LLMs, Generative AI and AI-assisted workflows will be highly valuable.
You will contribute to the development of cloud-native applications using technologies such as Java/Python, APIs, containerisation and modern cloud platforms including Azure or AWS. The role will also involve working with structured and unstructured data, building integrations and helping drive best practices around performance, scalability and maintainability. Exposure to data engineering, MLOps or real-time AI systems would be highly advantageous.
Collaboration will be central to your success. You will work in Agile teams alongside developers, architects and stakeholders across the business, contributing to technical design discussions, mentoring colleagues and helping shape the organisation’s broader AI strategy. Strong communication skills and the ability to balance innovation with practical delivery are essential.
The ideal candidate will bring solid commercial software engineering experience alongside hands-on exposure to AI or machine learning technologies in production environments. Strong programming expertise in Python/Java or similar modern languages is required, alongside a passion for continuous learning and emerging technologies. Experience within financial services, banking or FinTech environments would be beneficial but is not essential.
This is a fantastic opportunity to join a collaborative and technology-driven FinTech business where AI is a strategic priority, and your work will directly influence the future of digital financial services.
Location: Bern, Switzerland / 3 days a week in the offices. Salary: CHF 110,000 – CHF 125,000 + Benefits
Applicants must have the right to work in Switzerland.
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Cisco Wireless Network Engineer
Cisco ISE, Catalyst 9800, Cisco Wireless, WiFi , Juniper Mist, DNAC, Prime, 802.1X
Hybrid (3/2) | London, Docklands, E14 & Remote | Contract | Inside IR35
Role Enterprise Wireless Engineer / Cisco Wireless Engineer / Network Security Engineer / Cisco ISE Engineer
Objective Deliver secure enterprise Cisco wireless (WiFi) infrastructure
Key Skills Cisco Wireless, Cisco Catalyst 9800, Cisco WLC 9800, Cisco WLC 5520, Cisco WLC 5508, Cisco Access Points, Cisco ISE, 802.1X, MAB, Guest Wireless, Juniper Mist, Cisco DNA Center (DNAC), Cisco Prime, Routing, Switching, Firewalls, Network Security, SSL Certificates, Ansible, Python, REST APIs, Wireless LAN, Wi-Fi.
Location Hybrid (3/2) | London, Docklands, E14 & Remote
Type Temporary, Contract, Full-Time
Status Contract for services. Inside IR35
Duration 18 months minimum
Overview
@mecscomms is recruiting for an experienced contract Enterprise Wireless Engineer to support the deployment, implementation and optimisation of secure enterprise wireless infrastructure within a large-scale network transformation programme.
This role focuses on Cisco Wireless technologies, Cisco Identity Services Engine (ISE) and secure wireless authentication, delivering enterprise Wi-Fi solutions across complex, multi-site environments.
The successful candidate will possess strong enterprise wireless engineering experience, combined with expertise in Cisco ISE, authentication technologies, network security and packet-level troubleshooting.
This is an excellent opportunity for an experienced Wireless Engineer to join a major enterprise infrastructure programme delivering secure, highly available wireless networking services.
Purpose
Deliver secure enterprise Cisco wireless infrastructure. Provide professional engineering services supporting the deployment, configuration, optimisation and operational support of enterprise wireless infrastructure, ensuring secure authentication, high availability and excellent user experience across corporate and guest wireless environments.
Technology Stack
• Cisco Catalyst 9800 Wireless LAN Controllers
• Cisco 5520 & 5508 Wireless Controllers
• Cisco Wireless Access Points
• Cisco Identity Services Engine (ISE)
• 802.1X Authentication
• MAC Authentication Bypass (MAB)
• Guest Wireless Networking
• Cisco DNA Center (DNAC)
• Cisco Prime Infrastructure
• Juniper Mist
• Routing & Switching
• Enterprise Firewalls
• Network Security
• SSL Certificates
• Ansible
• Python
• REST APIs
• Packet-Level Network Troubleshooting
Core Activity
• Deploy and configure Cisco enterprise wireless solutions
• Implement Cisco ISE with 802.1X, MAB and Guest Access
• Configure Catalyst 9800 Wireless LAN Controllers and Access Points
• Integrate wireless networks with routing, switching and firewalls
• Support wireless security, authentication and certificate management
• Automate network operations using Python, Ansible and REST APIs
• Troubleshoot wireless networks to packet level
• Produce technical documentation and handovers
Responsibilities
• Deploy, configure and optimise Cisco Wireless infrastructure
• Implement and support Cisco ISE authentication services
• Configure Catalyst 9800, 5520 and 5508 Wireless LAN Controllers
• Support secure corporate and guest wireless environments
• Integrate wireless infrastructure with enterprise networking and security platforms
• Perform packet-level troubleshooting and root cause analysis
• Support Juniper Mist, Cisco DNA Center and Cisco Prime management platforms
• Develop automation scripts and operational tooling using Python and Ansible
• Manage SSL certificates and secure authentication services
• Produce technical documentation, implementation guides and operational procedures
• Ensure delivery against operational, security and quality standards
Deliverables
• Successful deployment of enterprise wireless infrastructure
• Secure authentication across corporate and guest wireless networks
• Stable, high-performance wireless services
• Successful Cisco ISE integration
• Accurate engineering documentation and operational handover
• Effective troubleshooting and resolution of wireless issues
• Delivery against project milestones and operational objectives
Working Environment
• Enterprise Network Infrastructure Programme
• Hybrid Working
• Large Multi-Site Enterprise Environment
• Enterprise Network Security Programme
• Fast-Paced Project Delivery Environment
Candidate Profile
Candidates should possess strong hands-on experience delivering enterprise wireless networking solutions within large corporate environments. You will combine deep technical expertise across Cisco Wireless technologies with strong troubleshooting capability, network security knowledge and experience implementing secure authentication solutions using Cisco ISE.
Essential
• Proven Cisco Wireless engineering experience
• Cisco Catalyst 9800 Wireless LAN Controller experience
• Cisco 5508 / 5520 Wireless Controller experience
• Cisco ISE deployment and support
• 802.1X authentication
• MAC Authentication Bypass (MAB)
• Guest Wireless implementation
• Enterprise routing and switching
• Network security and firewall integration
• Packet-level troubleshooting
• Excellent analytical and problem-solving skills
Desirable
• Juniper Mist
• Cisco DNA Center (DNAC)
• Cisco Prime Infrastructure
• Python automation
• Ansible
• REST APIs
• SSL certificate management
• Enterprise Wi-Fi design
• Wireless site surveys and RF optimisation
Key Traits
• Strong analytical and troubleshooting mindset
• Excellent communication and stakeholder management skills
• Security-first approach
• Proactive and delivery-focused
• High attention to detail
• Strong team collaboration
• Ability to work effectively within complex enterprise environments
@mecscomms: uniting opportunity with ambition in Telecoms | Media | Technology
@mecscomms is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
For more information or a list of current vacancies, please see our web site at mecscomms.co.uk
....Read more...
Senior Quantexa Data Engineer - Leeds / Hybrid
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients.
The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.
We are keen to hear from talented Quantexa Data Engineers from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Leeds / Hybrid
Salary: £60k - £75k + Car + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
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Senior Quantexa Data Engineer - Birmingham / Hybrid
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients.
The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.
We are keen to hear from talented Quantexa Data Engineers from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Birmingham / Hybrid
Salary: £60k - £75k + Car + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
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Senior Quantexa Data Engineer - London / Hybrid
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients.
The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.
We are keen to hear from talented Quantexa Data Engineers from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: London / Hybrid
Salary: £60k - £80k + Car + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
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Senior Quantexa Data Engineer - Manchester / Hybrid
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for an experienced Quantexa Data Engineer with significant experience leading the technical development of Quantexa-based solutions. You will be tasked with designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
We are seeking a Certified Senior Quantexa Data Engineer with significant experience of designing and implementing Quantexa solutions and leading client data engineering or integration projects for established clients.
The successful candidate will have strong knowledge of Spark, Scala and Python Databricks. Any experience of DevOps and CI/CD pipelines, Jenkins, GitHub Actions, or Azure DevOps would be beneficial, as would familiarity with Docker and Kubernetes, but training will be provided.
We are keen to hear from talented Quantexa Data Engineers from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Manchester / Hybrid
Salary: £60k - £75k + Car + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer)
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Data Engineer (AWS) - Manchester
(Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Data Engineer to become an integral part of the their Data Engineering Team, spearheading the evolution of the company's data infrastructure. You will be developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation and enabling crucial business intelligence.
We are seeking a Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance to Juniors.
The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data warehousing solutions. Agile experience is also key, as are excellent communication skills to be able to effectively communicate with both technical and non-technical stakeholders.
We are keen to hear from talented Data Engineer candidates from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Manchester
Salary: £45k - £65k + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer)
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Senior Data Scientist
Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) |
Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models
Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics
Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud Data Platforms, Data Products, Git, Version Control, MLOps, Data Pipelines.
Location: Hybrid role. 2 days per week in office Either:
Welwyn Garden City, Hertfordshire or
Slough, Berkshire
Type: Permanent | Full-Time
Overview:
@mecscomms is recruiting for an experienced Senior Data Scientist to join one of the UK's most advanced Data Science teams, helping shape the future of customer analytics through cutting-edge machine learning, statistical modelling & cloud-based AI solutions.
This is a great opportunity for an experienced Data Scientist who enjoys solving complex commercial problems using advanced analytics, statistical modelling & machine learning techniques, whilst delivering production-ready data science solutions that directly influence customer experience & business performance.
This position offers exposure to large-scale customer datasets, advanced Azure-based technologies & highly collaborative multidisciplinary teams consisting of Data Scientists, Data Engineers & Data Analysts.
Purpose:
Design, develop & deploy enterprise-scale data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making.
Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation.
Build sophisticated statistical & machine learning models covering areas such as:
• Customer Lifetime Value
• Customer Propensity Modelling
• Customer Churn Prediction
• Marketing Optimisation
• Personalisation
• Time Series Forecasting
• Stock Forecasting
• Demand Planning
• Customer Behaviour Analytics
• Decision Intelligence
Technology Stack:
Programming
• Python
• SQL
• PySpark
Cloud & Platforms
• Microsoft Azure
• Azure Databricks
• Azure Machine Learning
Machine Learning & AI
• Statistical Modelling
• Predictive Analytics
• Feature Engineering
• Propensity Modelling
• Time Series Forecasting
• MLflow
• PyTorch
Data Engineering
• Data Pipelines
• Graph Databases
DevOps & Development
• GitHub
• GitHub Actions
• CI/CD
• Version Control
Core Activity:
• Deliver end-to-end data science solutions from concept to production
• Build machine learning models that improve customer & business outcomes
• Apply statistical techniques to solve complex business problems
• Develop propensity & predictive models for customer decisioning
• Design & optimise time series forecasting models
• Build scalable data pipelines & production-ready analytics
• Collaborate with cross-functional teams to deliver business value
• Monitor, maintain & continuously improve deployed models
• Present analytical insights to technical & business stakeholders
• Promote best practice in data science & software engineering
Responsibilities:
• Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation.
• Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment.
• Develop sophisticated propensity models to support customer targeting, customer engagement, personalisation & commercial decision making.
• Build highly accurate time series forecasting models covering both customer demand & stock forecasting, continuously improving forecast performance through back-testing & model refinement.
• Develop scalable, production-ready machine learning solutions using Python, SQL & PySpark within Azure Databricks.
• Build, optimise & maintain robust data pipelines using software engineering best practices, including automated testing, documentation, version control & reproducibility.
• Work closely with stakeholders to understand business challenges, define measurable success criteria & translate analytical outputs into commercially valuable recommendations.
• Monitor model performance, identify opportunities for optimisation & continuously improve deployed solutions.
• Conduct peer reviews of analytical code & statistical models, helping to raise technical standards across the wider Data Science function.
• Promote best practice in machine learning, statistical modelling, software engineering & cloud-based analytics delivery.
Deliverables:
• Production-ready machine learning models
• Customer propensity models
• Time series forecasting solutions
• Actionable business insights
• Scalable, secure machine learning code
• Azure-based data pipelines
• Stakeholder reports & recommendations
• Optimised model performance
• Well-documented analytical solutions
• Successful cross-functional delivery
Working Environment:
• Hybrid Working
• Agile Delivery
• Azure Cloud Platform
• Azure Databricks
• Cross-Functional Product Squads
• Enterprise Data Science
• Large-Scale Data Environment
• CI/CD & DevOps
• Continuous Learning & Innovation
Candidate Profile:
Candidates should possess experience as a Senior Data Scientist with strong analytical skills, commercial awareness & a passion for solving complex business problems.
You'll have a proven track record of delivering end-to-end data science solutions, from problem definition through to production deployment, using advanced statistics, machine learning & cloud technologies.
You'll be confident working with both structured & time series data, building scalable models that deliver measurable business value. Your experience is likely to include some of the following:
Essential:
• End-to-end data science delivery
• Statistical modelling & hypothesis testing
• Machine learning & predictive analytics
• Propensity modelling
• Time series forecasting
• Python
• SQL
• PySpark
• Microsoft Azure Cloud
• Azure Databricks
• Feature engineering
• Production ML deployment
• Version control & automated testing
• Data integration & modelling
• Stakeholder management
• Agile delivery experience
Desirable:
• MLflow
• PyTorch
• Databricks Asset Bundles
• Graph Databases
• Azure Machine Learning
• GitHub Actions
• CI/CD
• MLOps
• Marketing Analytics
• Customer Lifetime Value (CLV)
• Churn Prediction
• Retail Analytics
• Customer Personalisation
• Decision Intelligence
Key Traits:
• Curious & analytical
• Commercially minded
• Customer focused
• Strong statistical thinking
• Detail orientated
• Excellent communicator
• Adaptable & delivery focused
@mecscomms: uniting opportunity with ambition in Telecoms | Media | Technology
@mecscomms is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
For more information or a list of current vacancies, please see our web site at mecscomms.co.uk....Read more...
Senior Data Engineer (AWS) - Manchester
(Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Senior Data Engineer to become an integral part of the their Data Engineering Team, spearheading the evolution of the company's data infrastructure. You will be developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation and enabling crucial business intelligence.
We are seeking a Senior Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance to Juniors.
The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data warehousing solutions. Agile experience is also key, as are excellent communication skills to be able to effectively communicate with both technical and non-technical stakeholders.
We are keen to hear from talented Senior Data Engineer candidates from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Manchester
Salary: £60k - £80k + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer)
NOIRUKTECHREC
NOIRUKREC....Read more...
This is a fantastic opportunity for someone with exceptional proficiency in Python, SQL, HTML looking to work remotely with a leading Hedge fund. A distinguished player in the quantitative trading industry, renowned for delivering best-in-class solutions to financial institutions, hedge funds, and technology organizations. With over 15 years of expertise, they are at the forefront of quantitative trading technology and business development, navigating the complexities of the electronic trading landscape to achieve strategic objectives.Overview of the roleWe are seeking a highly skilled Quantitative Developer to join our dynamic team. This full-time position involves working closely with our lead developer and the Founder/Portfolio Manager. The role is primarily remote, with required training and occasional travel to London.Key responsibilitiesDatabase Management: Maintain, organise, and expand the SQL Server database. Ensure data integrity and optimise database performance for efficient data retrieval and processing.Back testing and Strategy Development: Develop and implement back testing and stock screening strategies using Python. Collaborate with the investment team to refi ne and test new strategies.Process Automation: Design and execute process automation to streamline operations and improve efficiency. Implement automated workflows and scripts to reduce manual intervention.Risk Management: Assist in developing and monitoring the risk management system. Analyse risk metrics and provide insights to mitigate potential risks.User Interface Development: Create intuitive and user-friendly interfaces for internal tools and applications. Ensure seamless user experiences through effective design and functionality.Code Documentation: Add comprehensive comments and documentation to the codebase to facilitate collaboration and future development.System Development: Maintain and enhance our proprietary investment management system and libraries. This includes writing clean, scalable, and efficient code to support our investment strategies.Key requirementsEducational Background: Graduate with a master's degree in computer science, Information Technology, or a related field. Strong foundation in mathematics, statistics, and computer science principles.Experience: At least 2 years of professional experience, with a minimum of 1 year in a development team. Proven track record of delivering high-quality software solutions.Technical Skills: Advanced proficiency in Python programming is crucial. Experience with SQL, HTML, and VBA is a plus. Familiarity with cloud computing platforms and automation tools is beneficial.Analytical Skills: Strong analytical and problem-solving skills. Ability to work with large datasets and derive actionable insights.Communication Skills: Excellent verbal and written communication skills. Ability to convey complex technical concepts to non-technical stakeholders.Work Ethic: Strong work ethic, can-do attitude, and willingness to contribute from day one. Self-motivated and able to work independently in a remote setting.Team Collaboration: Desire to work in an entrepreneurial environment. Ability to collaborate effectively with cross-functional teams and contribute to a culture of openness, honesty, and engagement.Perks and benefits of the roleCompetitive Salary based on experienceFlexible hybrid working model.Opportunities for professional growth and development.Exposure to cutting-edge technology and innovative projects.Collaborative and inclusive company culture.....Read more...
We are looking for a Laboratory Test Engineer to support the testing, maintenance, and fault-finding of advanced scientific and engineering equipment. This role would suit candidates with experience operating laboratory instrumentation, working in cleanroom or safety-critical environments, and following technical procedures and SOPs.
Key Requirements
Degree in Physics, Engineering, or a related scientific discipline
Experience with laboratory, test, or scientific equipment
Fault-finding, maintenance, or calibration experience
Ability to work in a controlled, cleanroom, or safety-critical environment
Strong attention to detail and documentation skills
Desirable
Experience with instrumentation, sensors, data acquisition, or testing
Cleanroom, aerospace, semiconductor, or research laboratory experience
Python or data analysis experience....Read more...
We are looking for a Laboratory Test Engineer to support the testing, maintenance, and fault-finding of advanced scientific and engineering equipment. This role would suit candidates with experience operating laboratory instrumentation, working in cleanroom or safety-critical environments, and following technical procedures and SOPs.
Key Requirements
Degree in Physics, Engineering, or a related scientific discipline
Experience with laboratory, test, or scientific equipment
Fault-finding, maintenance, or calibration experience
Ability to work in a controlled, cleanroom, or safety-critical environment
Strong attention to detail and documentation skills
Desirable
Experience with instrumentation, sensors, data acquisition, or testing
Cleanroom, aerospace, semiconductor, or research laboratory experience
Python or data analysis experience....Read more...
This organisation is building the future of company intelligence, delivering a next-generation AI software platform designed for instant, intuitive benchmarking and insights. They collaborate with leading experts across global consultancies, M&A advisory, and beyond, providing high-value competitor intelligence to support new business development and key client engagements. Their platform drives strategic benchmarking across critical areas like culture, leadership, technology, and customer operations.Job Overview:The Company Intelligence Analyst role offers the chance to work at the intersection of software, AI, and company benchmarking. You’ll collaborate with intelligence analysts, data engineers, and technologists to deliver insightful benchmarking products and develop intelligence for a variety of industries.Here's What You'll Be Doing:Producing high-quality company intelligence products tailored to diverse industries and use cases.Analysing commercial, technological, and operational benchmarks relevant to M&A, consultancy, and client sales.Handling confidential and sensitive client briefs, working independently and in a team.Processing data to uncover insights on companies’ people, activities, technologies, and investments.Writing succinct, technical commentary to interpret client deliverables.Using Python and advanced data tools to innovate intelligence concepts, including APIs, web scrapers, and robotic process automation.Here Are the Skills You'll Need:Passion for data, statistics, company benchmarking, and AI.Strong interest in M&A, consultancy, and competitor intelligence.Excellent attention to detail and ability to learn quickly.Proficiency in Python, statistical analysis, and MS Excel.Degree-level qualification in finance, business, STEM, or related fields.Experience in areas like company benchmarking, data science, AI, or FP&A is advantageous.Knowledge of data pipelines and acquisition techniques, including APIs and automation, is a plus.Work Permissions:You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time.Here Are the Benefits of This Job:Competitive salary starting at £35,000+ (depending on experience).Permanent full-time position with flexibility to work primarily from home.Pension scheme and annual leave allowance.Share options.Opportunity to work in a flat organisational structure alongside a passionate and diverse team, including direct collaboration with the founding team.Why This Role Is Exciting:A career as a Company Intelligence Analyst opens doors to the innovative world of AI-driven benchmarking, where you can make a meaningful impact by transforming data into actionable insights. Whether you’re passionate about technology, M&A, or consultancy, this role offers a unique blend of challenge and opportunity in an inclusive, supportive, and startup-like atmosphere.Ready to step into the future of company intelligence? Apply today and be part of shaping what’s next.....Read more...
Principal Network Architect | Segment Routing | SRv6
Berkshire | Hybrid | Contract | Outside IR35
Tier 1 Service Provider | SRv6 | IPv6 | MPLS | Segment Routing | Network Architecture | Cisco NSO
Role Principal Network Architect, Network Architect, SRv6 Architect, IP Transport Architect, Service Provider Architect, MPLS Architect, IPv6 Architect, Segment Routing Architect
Key Skills Principal Network Architect, SRv6, Segment Routing, IPv6, MPLS, Carrier Networks, Tier 1 Service Provider, IP Transport Networks, Network Architecture, High Level Design, Migration Strategy, Cisco NSO, Cisco Crosswork, BGP, IS-IS, EVPN, VXLAN, Network Automation, NETCONF, REST APIs, YANG, Python, Ansible, Transport Networks, Architecture Governance.
Location Hybrid | Berkshire Office & Home based
Type Temporary, Contract, Full-Time
Status Contract for services. Outside IR35
Duration 24 months minimum
Overview
@mecscomms is recruiting for an experienced contract Principal Network / SRv6 Architect to lead the design and evolution of a next-generation carrier-grade IP transport network for a leading Tier 1 telecommunications provider.
This is a unique opportunity to shape the future architecture of a national network, defining the transition from legacy MPLS technologies to a highly automated SRv6-based transport platform supporting fixed, mobile, enterprise, cloud and data centre services.
Working alongside architecture, engineering, operations and technology partners, you'll own the strategic network architecture, establish technical standards and produce the architectural blueprints that will underpin a major transformation programme.
Purpose
Design the future-state architecture for a large-scale IP transport network built around Segment Routing over IPv6 (SRv6), delivering a scalable, resilient and automation-first platform capable of supporting the next generation of telecommunications services.
Lead the architectural direction of the programme, producing the HLD designs, migration strategy and technical governance required to successfully transform a national carrier network.
Technology Stack
• Core Network
• SRv6
• Segment Routing
• IPv4 / IPv6
• MPLS
• Carrier IP Transport
• BGP
• IS-IS
• EVPN
• Architecture & Design
• High Level Design (HLD)
• Low Level Design (LLD)
• Network Architecture
• Migration Strategy
• Technical Governance
• Network Automation
• Cisco NSO
• Cisco Crosswork
• Python
• Ansible
• NETCONF / REST APIs
• YANG
• Modern Infrastructure
• Network Telemetry
• Cloud Networking
• Virtualisation
• Kubernetes
• VMware
• OpenStack
Core Activity
• Design next-generation SRv6 transport networks.
• Define carrier IP architecture and technical standards.
• Lead MPLS to SRv6 migration strategy.
• Produce High Level Designs (HLD) and architectural documentation.
• Define network automation architecture.
• Provide technical leadership across architecture and engineering teams.
• Review designs and ensure architectural governance.
• Work closely with vendors, operations and delivery teams.
• Shape long-term transport network strategy.
Responsibilities
• Own the end-to-end architecture for a carrier-grade IP transport network supporting fixed, mobile, enterprise and cloud services.
• Define the target SRv6 architecture, ensuring the platform is scalable, resilient and automation-ready.
• Produce High Level Design documentation and architectural standards to support engineering delivery.
• Develop the migration strategy for transitioning from legacy MPLS technologies to SRv6 with minimal operational risk.
• Assess Cisco NSO and Cisco Crosswork capabilities to support orchestration, automation and lifecycle management.
• Define underlay network requirements to support future overlay services and transport capabilities.
• Produce architecture blueprints describing integration with OSS/BSS platforms and northbound APIs.
• Work collaboratively with engineering, operations, product management and vendors throughout the programme lifecycle.
• Provide architectural governance, technical leadership and design assurance across all phases of delivery.
• Champion automation-first principles and modern network engineering best practice.
Deliverables
• Private IP Architecture
• SRv6 Target Architecture
• Skeleton High Level Design (HLD)
• Cisco NSO / Cisco Crosswork Assessment
• Underlay Requirements Specification
• Northbound Integration Blueprint
• Release 1 Technical Scope
• Delivery & Migration Roadmap
• Migration Strategy
Working Environment
• Hybrid Working
• Tier 1 Service Provider
• Carrier-Grade Transport Networks
• Large-Scale Network Transformation
• Multi-Vendor Environment
• Cross-Functional Architecture Teams
• Agile Delivery
• Automation-First Engineering
• Enterprise IP Networking
Candidate Profile
Candidates must possess extensive experience designing and governing large-scale IP transport networks within a Tier 1 telecommunications environment.
You'll have a proven track record of defining strategic network architectures, leading complex transformation programmes and producing the technical deliverables required to successfully migrate carrier networks from MPLS to SRv6.
You'll be recognised as a senior technical authority, capable of influencing stakeholders, leading architectural decisions and delivering scalable network designs that will support future service growth.
Essential
• Tier 1 Service Provider experience
• Commercial SRv6 architecture
• Segment Routing
• IPv6
• MPLS / SR-MPLS
• Carrier IP Transport Networks
• High Level Design (HLD)
• Migration Strategy
• Architecture Governance
• BGP / IS-IS
• Technical Leadership
• Stakeholder Management
Desirable
• Cisco NSO
• Cisco Crosswork Network Controller
• EVPN / VXLAN
• Python
• Ansible
• NETCONF
• REST APIs
• YANG / OpenConfig
• OSS/BSS Integration
• TM Forum APIs
• Network Telemetry
• Kubernetes
• TOGAF
• CCIE Service Provider
• JNCIE-SP
Key Traits
• Strategic Thinker
• Technical Leader
• Influential Communicator
• Commercially Aware
• Collaborative
• Analytical
• Delivery Focused
• Pragmatic
• Innovative
• Passionate About Network Architecture
@mecscomms: uniting opportunity with ambition in Telecoms | Media | Technology
@mecscomms is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
For more information or a list of current vacancies, please see our web site at mecscomms.co.uk
....Read more...
DevOps Engineer - Saas - London/Hybrid
(Tech stack: DevOps Engineer, AWS, Azure DevOps, GitHub, Kubernetes, CI/CD, Infrastructure as Code, Terraform, Docker, Linux, Python, C#, Monitoring Tools, Automation, SaaS, Agile, DevOps Engineer)
We’re working with one of London’s most exciting and fast-growing SaaS scale-ups, and they’re looking for a talented DevOps Engineer to join them on their next phase of explosive growth. Backed by major investment and already delivering a high-impact platform to global clients, this is your chance to join a company that’s absolutely flying — and to grow your career as they scale.
This is a business where DevOps is front and centre — enabling rapid feature delivery, platform resilience, and infrastructure that scales globally. As part of their high-performing engineering team, you’ll play a vital role in shaping, evolving, and optimising the DevOps function in a modern, cloud-native environment. The roadmap ahead is ambitious, and you’ll have the autonomy and backing to influence it.
You’ll be working across a cutting-edge stack, with AWS at its core, supported by Azure DevOps for pipelines and GitHub for version control. The infrastructure is heavily automated with Terraform and deployed via containers using Docker and Kubernetes. You should bring strong experience building and maintaining CI/CD pipelines, and be confident scripting in Python, C# or similar scripting languages. You’ll also be comfortable working with monitoring and performance tools like Datadog or Prometheus, and ideally, you’ll have worked in a fast-moving SaaS or product-led business before. Bonus points if you’ve helped shape DevOps roadmaps, mentored others, or worked with cost optimisation, security, or compliance frameworks (ISO, SOC2, etc.).
This is more than just another DevOps role — it’s a chance to join a company at the perfect stage: profitable, scaling, tech-led, and genuinely empowering its engineers to drive the business forward. You’ll be surrounded by smart, collaborative people, given room to innovate, and encouraged to push the boundaries of what DevOps can do.
What’s in it for you?
Competitive base salary + discretionary bonus
Private healthcare
25 days holiday + your birthday off
Hybrid working (3 days per week in their vibrant London office)
Regular socials, access to a learning & development budget
Free gym membership
Opportunities for international travel and career progression as the company expands
Location: London / Hybrid
Salary: £65K - £75K and benefits.
You must be UK-based and hold full right to work in the UK — unfortunately, sponsorship is not available at this stage.
If you're ready to make your mark in a thriving SaaS business where DevOps isn’t just a support function — it's the backbone of growth and innovation — then this is the role for you.
Noir continues to be the leading technology recruitment agency; we can help you make the right career decisions!
NOIRUKTECHREC
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Data Engineer – FinTech – Newcastle
(Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer)
Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join their team. This role will focus on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business.
As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range of external and internal sources. You’ll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you’ll help shape how data is accessed, tested, and leveraged to maximise value.
The successful candidate will bring:
3–6 years of relevant experience working as a Data Engineer (or in a closely related role).
A 2:1 or above in Computer Science (or related field), ideally from a Russell Group university.
Direct experience in the hedge fund sector (essential).
Strong ability to design and build data pipelines that integrate multiple data sources.
Proficiency in SQL and Python, with solid exposure to AWS or other cloud-based data tools.
Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow.
Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy.
Excellent communication skills, with the ability to collaborate effectively in a team environment.
A detail-oriented, proactive mindset, with a willingness to learn and apply new technologies.
This is an exciting opportunity to join a forward-thinking organisation where data is at the core of their success. You’ll be part of a collaborative environment where your work will directly support world-class FinTech solutions.
Location: Newcastle, UK (Fully Office Based)
Salary: £45,000 - £80,000 + Bonus + Benefits
Applicants must be based in the UK and have the right to work in the UK.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
NOIRUKTECHREC
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Netcompany is looking for entry-level DevOps Engineers to join the Cloud Operations team and advance our support capabilities to deliver optimal solutions for our clients.
As part of our Cloud Operations Team, you will monitor, support, and troubleshoot cloud infrastructure services to ensure optimal performance and reliability for our clients. Working directly with seasoned engineers, you'll gain practical experience across leading cloud platforms while building the technical foundation required for a successful career in cloud engineering.
You will train across multiple industry-leading cloud platforms (including AWS and Azure) alongside supporting technologies. Working directly with seasoned engineers on real-world infrastructure, you will build a highly versatile toolkit and gain the practical experience needed to progress in your career.
Based in a brand-new purpose-built facility in Leeds city centre, you will join a forward-thinking organisation that prioritises your personal development.Training:Why choose our DevOps Engineer Level 4 apprenticeship?
Our DevOps Engineer Level 4 apprenticeship focuses on implementing and facilitating the use of DevOps practices within a business. The DevOps Engineer Level 4 apprenticeship programme encompasses multiple stages of the software development life cycle, automating processes around development, testing and release for continuous integration of new features, and subsequent continuous delivery of a product.
QA’s DevOps Engineer Level 4 apprenticeship programme enables the apprentice to:
Work as part of a larger team and understand the context of both the development and technical operations aspects of a project in order to streamline communication between teams
Interpret design documentation and specifications defined and delivered by specialist members of the team, such as a business analyst or technical architect
Understand a combination of strong theoretical DevOps concepts further solidified with industry-standard tooling education in building, containerisation, orchestration and deployment
Gain access to a large portfolio of learning for both general-purpose and cloud-vendor specific tooling in AWS, Azure and GCP
Explore the developer skills needed for learners to create applications through Python with connected databases, practising TDD and OOP
Tools and technologies learned: Apprentices learn to use Python, Linux, Google Cloud, Microsoft SQL Azure and AWS.Training Outcome:90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.Employer Description:Join Netcompany in leveraging technological innovations to foster societal transformation!
As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting.
Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs.Working Hours :Monday - Friday 9.00am - 5.30pm.Skills: Communication skills,IT skills,Problem solving skills....Read more...
DevOps Engineer – FinTech – Newcastle
(Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQL Server, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer)
Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world’s leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking a talented DevOps Engineer to join their team in Newcastle.
As a DevOps Engineer, you will be responsible for creating, maintaining, and optimising the infrastructure and pipelines that support highly complex financial software platforms. You’ll work closely with developers and stakeholders, ensuring deployments are seamless, environments are robust, and systems are both secure and scalable. This is a fantastic opportunity to apply your technical expertise in a collaborative, fast-paced environment where innovation is actively encouraged.
The successful candidate will bring:
A 2:1 degree or above in Computer Science (or related), ideally from a top university.
Strong ability in scripting with PowerShell or a similar language.
Hands-on coding skills in at least one of C#, Java, or Python.
Practical knowledge of automation tools such as Terraform or Ansible.
Background in container platforms (e.g., Docker) with orchestration using Kubernetes or Swarm.
Familiarity with system monitoring solutions (e.g., ELK, Grafana, or similar).
Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity.
Experience working with SQL databases, particularly Microsoft SQL Server.
Comfort managing both Windows and Linux environments.
The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions.
Desirable (but not essential):
Working knowledge of Atlassian products such as JIRA or Bitbucket.
Exposure to artifact management tools like Artifactory.
Deployment automation experience with Octopus Deploy.
Awareness of code quality and analysis tools (e.g., SonarQube).
Background with job scheduling platforms such as Control-M.
Experience with major cloud providers (Azure, AWS, GCP).
Familiarity with VMware (vSphere) and storage area networks.
Previous experience in financial services would be advantageous, though not a requirement.
This is an exceptional opportunity to join a forward-thinking organisation where your contributions will directly shape the delivery of world-class FinTech products.
Location: Newcastle, UK (Fully Office Based)
Salary: £50,000 - £90,000 + Bonus + Benefits
Applicants must be based in the UK and have the right to work in the UK.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
NOIRUKTECHREC
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Exciting opportunity for a Full-Stack Software Engineer ready to build innovative SaaS products that make cybersecurity measurable every day.Join a fast-growing cybersecurity technology business developing a modern SaaS platform that provides organisations with continuous visibility into their security posture. This Full-Stack Software Engineer role offers genuine ownership, the opportunity to work with AI-powered technologies, and the chance to influence technical decisions within a collaborative engineering team.Company OverviewThis innovative software company specialises in cybersecurity and cloud-based technology, helping businesses continuously assess and improve their security posture. Operating with a modern engineering culture, the organisation values rapid iteration, technical excellence, and close collaboration between developers and customers to deliver meaningful solutions.Job OverviewAs a Full-Stack Software Engineer, you'll take ownership of features from initial concept through deployment and ongoing optimisation. Working across both backend and frontend technologies, you'll contribute to AI-powered functionality, cloud infrastructure, and platform reliability while collaborating directly with a highly experienced product and engineering team.Here's what you'll be doing:Design, develop and maintain full-stack applications using Python and React.Create AI-powered data processing pipelines that transform unstructured information into actionable insights.Build integrations with third-party platforms and validate secure, best-practice implementations.Improve platform reliability, scalability and deployment processes using modern DevOps practices.Collaborate closely with customers and internal stakeholders to deliver high-impact product features.Contribute to architectural discussions and continuously improve engineering standards across the platform.Here are the skills you'll need:Strong commercial experience as a Full-Stack Software Engineer using Python and React or another modern JavaScript framework.Experience working with cloud infrastructure, containerisation and Kubernetes.Solid understanding of Git, CI/CD pipelines and modern software development practices.Experience building scalable SaaS applications with an end-to-end ownership mindset.Excellent problem-solving abilities with the confidence to work independently in an agile environment.Fluent communication skills in both Dutch and English.Desirable experiencePractical experience implementing AI or Large Language Models (LLMs) within commercial software products.Knowledge of LangGraph or similar AI agent frameworks.Interest or experience within cybersecurity, cloud security or security assurance.Passion for adopting emerging AI tools to improve software development workflows.Key perks and benefits:Competitive salary with a comprehensive Belgian benefits package.Hybrid working model with two office days each week and flexible remote working.32+ days annual leave, including statutory holidays and additional ADV leave.Meal vouchers, hospitalisation insurance, group insurance and company car.Real ownership of projects with the opportunity to influence technical direction.Work alongside a highly collaborative engineering team using modern AI-assisted development practices.Why Build Your Career in Cybersecurity Software?Cybersecurity remains one of the fastest-growing sectors in technology, with organisations increasingly investing in cloud security, AI-driven automation and continuous compliance solutions. As a Full-Stack Software Engineer, you'll develop highly transferable skills across software engineering, cloud infrastructure, artificial intelligence and SaaS platforms.This opportunity, presented by The Opportunity Hub UK, offers an excellent pathway for ambitious engineers looking to work on cutting-edge technology while making a measurable impact on customer security outcomes.....Read more...
A Development Engineer is sought to join an innovative engineering team in Cambridge, Cambridgeshire, contributing to the research, development and testing of innovative fire detection technologies.
The Development Engineer, Cambridge, Cambridgeshire, will work across new product development and sustaining engineering, using practical engineering skills to investigate technologies, test prototypes and solve technical challenges.
Responsibilities include:
Carrying out technical research, investigations and prototype testing
Evaluating competitor products and alternative technologies
Analysing test results and engineering data to support development decisions
Conducting bench testing, fault finding and root-cause analysis
Producing technical reports and communicating findings to engineering teams
Working collaboratively across development and production engineering teams
Supporting the development of robust, high-quality fire detection products
The Development Engineer, Cambridge, Cambridgeshire, will have the following key skills:
Practical engineering, product development, R&D or technical investigation experience
Knowledge of electronics, schematics, datasheets and circuit prototyping
Experience using Python or MATLAB for engineering analysis or test automation
Hands-on experience with prototypes, test equipment and experimental setups
Degree in Electronics Engineering, Physics, Software Engineering or a related discipline
APPLY NOW – Development Engineer job in Cambridge, Cambridgeshire could be of interest, send your CV to adighton@redlinegroup.Com or call Adam Dighton on 01582 878821.....Read more...
