National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Test Data Engineer...

Mastek
London
2 days ago
Create job alert

Job Description Job Title: Test Data Engineer
Location: London, UK (3 days in office) SC Cleared: Required Job
Type: Full-Time Experience: 5+ years Job Summary: We are seeking a
highly skilled and detail-oriented Test Data Engineer to join our
growing team. As a Test Data Engineer, you will be responsible for
designing, implementing, and executing test cases and scripts for
software applications in the banking domain. You will work closely
with the development team to identify and resolve defects, ensure
product quality, and deliver reliable and efficient software
solutions. Key Data-Testing Responsibilities: - Test Internal data
ingestion and reference data ingestion - Data Ingress – Source to
Landing Zone - Landing Zone to Bronze - Bronze to Silver – Data
Quality, Metadata Enrichment, Tagging, Radar Registration,
Reformatting - Silver to Gold – Curation - Registration in Unity
Catalogue/Purview - Macrobond PCX use case tests - Scripts PCX use
case tests - Output Dataset labelling algorithm tests - Vintaging
labelling algorithm tests Key Core-Testing Responsibilities: -
Plan, Schedule, Coordinate, prep, run and report manual tests when
required, defect lifecycle, prep test data, mainly for System Test,
SIT and migrations testing. - Analyse and prioritise test cases to
ensure effective test coverage, identify defects, and track
resolution to closure; participate in Defect Triage calls - Create
detailed test cases, test plans, and other testing documentation -
Participate in Test Workshops to define test scenarios and key
inputs for phase test plans - Prepare and present test reports,
metrics, and status updates to project stakeholders - Participate
in requirement and design reviews to ensure testability -
Collaborate with developers, business analysts, and other
stakeholders to understand the requirements and functionalities of
the software being tested - Also supporting phases of In-Sprint
testing, CI/CD, NFT and UAT Qualifications and Skills: - Bachelor's
or master's degree in Computer Science, Engineering, or a related
field - Experience preferably in the banking or financial industry

  • Experience with cloud technologies, such as Azure Data Factory -
    Solid understanding of software testing methodologies, tools, and
    processes, Jira and for test management Jira-Xray - Excellent
    problem-solving and troubleshooting skills - Strong attention to
    detail and the ability to think analytically - Excellent written
    and verbal communication skills - Ability to work independently,
    look for alternative options, be proactive, keep things moving, and
    work collaboratively in a fast-paced, Agile environment -
    Professional certifications in software testing, such as ISTQB, are
    a plus

Related Jobs

View all jobs

Test Data Engineer

Test Data Engineer

Azure Data Engineer - Remote (Permanent)

ETL Test

Senior Azure Data Engineer - UK remote

Senior Azure Data Engineer - Remote

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.