SQL Server Developer
SQL Server Developer - Global Software House - Norwich
(Tech stack: SQL Server Developer, SQL Server 2022, T-SQL, SSAS, SSRS, SSIS, Database, Programmer, Engineer, C# Architect, SQL Server Developer)
Are you a skilled SQL Server Developer looking for your next career move? Our client, based in Norwich, is actively seeking multiple SQL Server Developers to join their dynamic team. This is an excellent opportunity for experienced professionals in SQL development and C# programming.
Key Responsibilities:
Develop and optimise SQL Server databases and queries.
Design and implement stored procedures, SSIS packages, and CLR functions.
Collaborate with cross-functional teams to integrate data-centric applications.
Ensure database security, integrity, and performance.
Essential Skills and Experience:
Strong proficiency in SQL development, including stored procedures, triggers, and functions.
Hands-on experience with SSIS (SQL Server Integration Services) for ETL processes.
Knowledge of CLR (Common Language Runtime) for SQL Server.
Proficiency in C# programming for database application development.
Experience with performance tuning and optimization techniques.
Ability to troubleshoot and resolve database issues.
Desired Skills (Nice to Have):
Familiarity with other database systems such as MySQL or PostgreSQL.
Experience with data warehousing and business intelligence solutions.
Knowledge of cloud platforms like Azure or AWS.
Why Join Us?
Competitive salary based on experience.
Opportunity to work with cutting-edge technologies in SQL Server and C#.
Collaborative and supportive team environment.
Career development and training opportunities.
Location: Norwich, UK / Remote Working
Salary: £40,000 - £70,000 + 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.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
NOIRUKTECHREC
NOIRUKREC
NC/RG/SD....Read more...
SQL Server Developer
(Tech stack: SQL Server Developer, SQL Server 2022, T-SQL, SSAS, SSRS, SSIS, Database, Programmer, Engineer, Architect, SQL Server Developer)
Our client, a leading provider of asset management software since 2002, serves clients across Germany, Switzerland, Liechtenstein, and the UK. They're now seeking a talented and passionate SQL Server Developer to join their growing team and contribute to the continued success of their platform.
As an ideal candidate, you will possess strong expertise in:
SQL Server 2022
T-SQL
Stored procedures
SQL Server Analysis Services (SSAS)
SQL Server Reporting Services (SSRS)
SQL Server Integration Services (SSIS)
Data Warehousing technologies
While a deep technical background is essential, our client is committed to supporting your professional growth by providing ongoing training and development opportunities.
What’s on offer:
30 days of holiday
Flexible working hours
The opportunity for remote work from another EU country ("Workation")
Location: Frankfurt, Germany / Remote
Salary: €70,000 - €90,000 + Bonus + Pension + Benefits
Requirements:
EU citizenship
C1-level German proficiency
Candidates must be based in Germany and have the right to work in Germany, even though remote working is available.
Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!
NOIRGERMANYRECSP1
NOIRGERMANYREC
NOIREUROPEREC
NC/SM/FRANK7090....Read more...
Data Warehouse & BI Engineer- Vienna, Austria
(Tech stack: Data Warehouse & BI Engineer, Microsoft SQL Server, BI, DWH, ETL processes, SSAS-Cube, T-SQL, SSMS, Database Design and Modeling Tools, Query Optimization and Performance Tuning, Indexing and Query Optimization, Data Integration Services (SSIS), Database Backup and Recovery, Database Security and Permissions, Version Control Systems (e.g., Git, SVN), Monitoring and Performance Tools (e.g., SQL Server Profiler, SQL Server Extended Events, Performance Monitor), Reporting and Analysis Services (SSRS, SSAS), Data Migration and Synchronization)
We have several exciting new opportunities for Data Warehouse & BI Engineer with the following skills Microsoft SQL Server, BI, DWH, ETL processes, SSAS-Cube, T-SQL, SSMS, Database Design and Modeling Tools, Query Optimization and Performance Tuning, Indexing and Query Optimization, Data Integration Services (SSIS), Database Backup and Recovery, Database Security and Permissions, Version Control Systems (e.g., Git, SVN), Monitoring and Performance Tools (e.g., SQL Server Profiler, SQL Server Extended Events, Performance Monitor), Reporting and Analysis Services (SSRS, SSAS), Data Migration and Synchronization) to join a dynamic international Automation company.
The role involves optimizing and maintaining an MSSQL-based reporting architecture, coordinating with IT on SQL Server issues, handling end-to-end DWH-BI development (ETL, database design, SSAS cubes for multidimensional analysis, SSRS reporting), managing project lifecycles, and providing 2nd-level support to users.
This is your chance to collaborate with some of the brightest minds in the Automation industry and contribute to Automation engineering. German language speaking is an advantage.
All Data Warehouse & BI Engineer positions come with the following benefits:
Shares in the company.
Pension scheme (8%).
3 hours ‘free time’ each week to investigate new technologies.
An annual training allowance of €4,500.
27 days holiday (excluding Public Holidays) plus your birthday off.
Flexible working hours.
Location: Vienna, Austria/ Hybrid Working
Salary: €63,000 - €84,000 + Pension + Benefits
To apply for this position please send your CV to Charlie Skipper at Noir.
Applicants must be based in Austria and have the right to work in Austria even though remote working is available.
NOIRAUSTRIAREC
NOIREUROPEREC
NOIREURNET
NC/CS/DWH6384....Read more...
Data Engineer - Lugano, Switzerland
Tech stack: Data Engineer; MS SQL, SSIS, C#, Data Governance, Data Security (Data Masking, Encryption), Data Catalogs, Power BI, Tableau, Compliance Management, Financial Data Platforms, KPI Calculation, Data Architecture, Data Structures, Data Loading Optimization, ETL, Database Management, System Reliability, System Scalability, Performance Optimization, Business Intelligence, Integration with Enterprise Systems, SQL Server, .NET, Software Development, Automation, Data Integration, Advanced Analytics, Cloud Platforms (Azure, AWS); Data Engineer.
We're thrilled to present a range of captivating roles for Data Engineers in the heart of cutting-edge fintech excellence. Here, you'll embark on a thrilling journey with the sharpest innovators in the world of private wealth management and financial software development. Brace yourself for a remarkable adventure, as our client's latest product release has ignited a revolution in asset management, unveiling an unprecedented, cosmic-scale approach to personalized and scalable wealth management solutions. Join us for a voyage into the future of finance!
Our client is looking for passionate Data Engineer candidates with experience in some or all of the following (full training will be provided to fill any gaps in your skill set): (Tech stack: Data Engineer; MS SQL, SSIS, C#, Data Governance, Data Security (Data Masking, Encryption), Data Catalogs, Power BI, Tableau, Compliance Management, Financial Data Platforms, KPI Calculation, Data Architecture, Data Structures, Data Loading Optimization, ETL, Database Management, System Reliability, System Scalability, Performance Optimization, Business Intelligence, Integration with Enterprise Systems, SQL Server, .NET, Software Development, Automation, Data Integration, Advanced Analytics, Cloud Platforms (Azure, AWS); Data Engineer.
This is your opportunity to be part of a new, technically challenging project and to be involved in the creation of a new application from scratch. Fintech is booming and our client are fast becoming a leader of this market!
All Data Engineer positions come with the following benefits:
3 hours ‘free time’ each week to investigate new technologies.
An annual training allowance of CHF 4,500.
27 days holiday (excluding Public Holidays) plus your birthday off.
Flexible working hours.
Location: Lugano, Switzerland/ Hybrid Working
Salary: CHF 80,000 - CHF 105,000 + Bonus + Pension + Benefits
To apply for this position please send your CV to Charlie Skipper at Noir.
Applicants must be based in Switzerland and have the right to work in Switzerland even though remote working is available.
NOIRSWITTZERLANDREC
NOIREUROPE
NOIREURNET
NC/CS/DATA80105....Read more...
The role / Duties:
You will work with our experienced team to provide day-to-day analysis support to our commercial and operational teams.
The analysis you produce will be used by the business teams to support decision making, drive change and assess performance.
As part of your role you will have the opportunity to complete the Data Analyst Level 4 apprenticeship where you will have the opportunity to develop your skills in PowerBI, SQL Server, SSIS, Python, R programming languages and cloud technologies and apply these in real life scenarios through your day-to-day role.Training:Why choose our Data Analyst apprenticeship?QA's Data Analyst Level 4 apprenticeship develops the skills needed to collect, organise and study data to provide valuable business insight.
The principles of data analytics are being applied across just about every industry. Using past-event data, analysts are making important insight-based business decisions and driving customer value across every team and function, including operations, finance, sales and marketing.
At QA we have deep-rooted expertise in Data, Analytics and AI. Our solutions transform the way that individuals use data and enable organisations to make more data-driven business decisions.
QA's Data Analyst Level 4 apprenticeship programme enables your organisation to:
Build the skills and capabilities you need throughout your organisation to analyse, interrogate and present technical data, providing informed and valuable business insights to a range of stakeholders.
Upskill or reskill your existing workforce with data skills and create analysts for the modern day workplace.
Recruit and harness a new talent pathway: QA can help you cost-effectively recruit diverse, ambitious talent into your business and help you build a pipeline of data literacy talent.
Training Outcome:You will be expected to proactively work with the rest of the BI team and key stakeholders across the business and upon successful completion of your apprenticeship will have the opportunity to specialise as you develop your skills and experience and become a subject matter expert in data analysis.
Our perks and benefits:Our colleagues are the heart of everything we do and play a vital role in our success. We like to recognise all their hard work with our rewards and benefits package in addition to your basic salary. Our benefits cover everything from saving for the future, health & wellbeing and training, personal development & recognition.
This includes:
Discretionary Bonus scheme
Company Shares Option Plan
Simply Health Cash Plan
Holiday entitlement (33 days inclusive of bank holidays)
Apprenticeships, study support and opportunities for progression and development
Confidential 24/7 365 employee assistance helpline
Agile and collaborative office environment with free parking, fruit, biscuits, and drinks
Regular social events, charity events and volunteering opportunities
Contributory pension scheme
Life insurance (4 x basic salary)
Employer Description:The UK Tote Group is the proud owner and steward of the Tote, the UK’s leading pool betting operator since 1928. We’re passionate about all things racing, we love the sport and it’s in our DNA. You will find us online and across many racecourses in the UK and Ireland.
Our headquarters in Wigan is the main hub for our team of over 200 innovative and ambitious experts dedicated to delivering our vision of providing the best betting experience for racing fans.Working Hours :9am to 5pm, Monday to Friday,Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Problem solving skills,Administrative skills,Team working,Non judgemental,Experience with BI tools,Experience with writing SQL,Microsoft Excel experience....Read more...
