Test Engineer
(Tech stack: QA Analyst, QA, SDET, Test Engineer, Tester, Manual Tester, QA Engineer, Quality Assurance, Software Quality Assurance (SQA) Engineer, Manual Testing, Web Applications, Defect Tracking, Excel, API Testing, SQL, DevOps, Scrum)
Our client is an established technology business delivering web-based software solutions. They are looking to hire an Application Support Specialist with strong QA experience to ensure the quality, stability, and reliability of their applications.
This role is primarily focused on manual testing, defect management, and application support. You will play a key part in validating releases, identifying issues, and working closely with development teams to ensure fixes are delivered and verified efficiently. There will also be opportunities to gain exposure to AI-driven tools and initiatives as part of ongoing platform development.
What you’ll need:
• 2+ years’ commercial QA experience • Strong manual testing experience (test cases / structured testing)• Experience logging and managing defects• Clear documentation skills• Strong Excel skills (formulas, pivots, charts)
Exposure to SQL, API testing, automation, or Agile environments would be advantageous but not essential.
Location: Bournemouth (Fully Office Based)Salary: £40,000 – £50,000Applicants must have the right to work in the UK.
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In this role you will develop skills in designing and executing software tests, diagnosing defects, using testing tools, analysing results and working collaboratively.
This apprentice Test Analyst role at the National Trust’s Heelis Head Office helps ensure the technology used by visitors, staff and volunteers runs smoothly. You’ll support testing teams by planning and running tests across systems ranging from café tills to digital platforms like the National Trust website. You’ll learn to write test cases, run tests, record issues and work with developers to improve system quality. During your apprenticeship, you’ll rotate between teams including IT Digital, Salesforce, Tills and Delta, gaining broad hands-on experience. You may also work on performance and accessibility testing, helping ensure our systems are reliable, effective and inclusive.Training:Working alongside your mentor on tasks specific to your apprenticeship, you will develop the skills & knowledge relevant to the apprenticeship standard Software Tester Level 4.
Your apprenticeship training will be delivered by a Learning Coach, with teaching and learning sessions held online, lots of on-the-job learning and support every day in the workplace.
You’ll attend regular review meetings and be accountable for your own progression. You’ll be required to complete mandatory e-learning, courses and training provided.Training Outcome:Upon successful completion you will have a Level 4 Software Tester Higher Apprenticeship, taking your first steps towards a career in IT.Employer Description:We protect and care for places so people and nature can thrive. We look after hundreds of houses and close to a million objects, along with vast areas of coastline, countryside and green spaces, for everyone’s benefit. With our staff, members, volunteers and supporters, we’re the biggest conservation charity in Europe. Everyone can get involved, everyone can make a difference.Working Hours :Fixed term, full-time (37.5 hours per week, for 18 months), shifts to be confirmed.Skills: IT skills,Customer care skills,Team working....Read more...
JOB DESCRIPTION
DAP is hiring Logistics Data Analyst Intern for Summe 2026.
The intern will work under the mentorship of Logistics Manager.
Responsibilities
Data validation between TMS (Mercury Gate), ERP (SAP S4/Hana), WMS (Manhattan), and Freight Audit and Pay (Cass).
Migrating data from legacy SAP to S4 including costing, freight class, transit times, etc.
Goal is to have 100% of Transportation/Logistics data transitioned to the new system prior to the end of the project.
The intern will need to identify errors between system communication and test functionality.
The intern will need to document project progress, communicate delays and challenges, and work cross-functionally to accomplish tasks.
Requirements:
Major: Logistics, Supply Chain Management
College classification: Junior or Senior or master's Students
Excel, data analytics, logistics knowledge is important.
A sharp eye for detail and an understanding.
Excellent communication and collaboration skills.
Pay
$17 / hour
About DAP
DAP is a market leading manufacturer, innovator and marketer of home repair and construction products including caulks, sealants, spray foam insulation, adhesives, and patch and repair products. DAP is part of RPM International Inc., a $6.1 billion, multinational company with subsidiaries that are world leaders in specialty coatings, sealants, building materials and related services.
You will find DAP products in the hands of professional painters, remodelers, builders, and do-it-yourselfers, and in 60,000 retail outlets, ranging from home centers and mass merchandisers to your local hardware, pro contractor channels and paint stores. DAP's eight manufacturing and distribution facilities in the United States of America and Canada service North America and the world.
At DAP, we hire the best people and give them a collaborative and rewarding work environment that empowers them to succeed! We support associates in continuous professional growth and collaborate on the steps it takes to get to the next level in their careers. Our associates enjoy a comprehensive benefits package including 401(k) with company match, pension, paid parental leave, competitive health insurance rates, employee stock purchase plan, tuition reimbursement, free wellness programs and more! Learn more about DAP's history, culture and benefits at www.dap.com/careers/
DAP - On the job since 1865.Apply for this ad Online!....Read more...
Design and build automation workflows to streamline internal business processes.
Integrate AI systems and LLMs into research and operational tasks.
Develop structured prompt frameworks for specific financial and business tasks.
Work with financial data APIs (such as Bloomberg) to create efficient data pipelines.
Create simple user interfaces (GUIs) or internal dashboards using the Microsoft ecosystem.
Collaborate with investment and sales teams to identify operational challenges and design solutions.
Test and refine automation tools to ensure they are reliable for daily use by the firm.
Manipulate and classify large datasets using specialized data wrangling tools.
Apply Generative AI to create and validate data visualizations for stakeholders.
Document evolving systems and workflows to maintain clear internal records.
Training:The training follows the Data & AI Solutions Analyst Level 4 standard, delivered over 20 months by Pareto.
Location: Training is a blend of classroom-based learning (face-to-face or virtual), digital e-learning, and on-the-job experience at the office in London.
Structure: You will attend structured training sessions and engage in monthly coaching and mentoring sessions with a dedicated Skills Coach to review your progress.
Curriculum: The programme covers 12 core modules, including The Data Lifecycle in the Age of AI, Prompt Engineering, and Visualising Data with Generative AI.
Certification: You will be supported to achieve the CompTIA Data+ professional certification as part of your journey.
End-Point Assessment: The final 2 months are dedicated to the Apprenticeship Gateway, where you will complete a work-based project and a professional discussion to finalise your qualification.Training Outcome:The career progression for this role is designed to develop a specialist at the intersection of technology, AI, and financial markets.Employer Description:Our client is a London-based investment firm specialising in credit markets. Their team combines deep investment expertise with a highly analytical approach to research, portfolio management, and investor engagement.
As part of their continued development, our client is investing in AI-driven workflows, automation, and intelligent data tools to improve how their teams operate. They are building systems that integrate AI, financial data, and internal processes to make research and decision-making more efficient. As an apprentice, you will work in a professional, fast-paced environment, collaborating directly with their investment and sales teams to build practical, real-world solutions.Working Hours :Monday to Friday, 9:00am – 6:00pm.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Analytical skills,Team working,Creative,Initiative....Read more...
