Senior Data Quality Analyst

Ageas Insurance Limited
Chandlers Ford, United Kingdom
Today
£65,000 – £70,000 pa

Salary

£65,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

35 days holiday (inc. bank holidays) Flexible working (Smart Working @ Ageas) Dental insurance Health cash plan Health screening Will writing Voluntary critical illness Mental health first aiders Well-being activities (mindfulness) Annual bonus schemes Competitive pension Employee savings Employee loans Sports and social club events Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay Paternity/non-pregnant parent/co-adopter at 8 weeks’

Job Title: Senior Data Quality Analyst
Target Start Date: Q2 2026
Contract Type: Permanent, Full Time
Salary Range: £65,000 - £70,000
Location: Eastleigh, Hybrid (1x week)
Closing Date for applications:7th May

Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you’ll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation.

Main Responsibilities as Senior Data Quality Analyst:

  • Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions
  • Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems
  • Develop data profiling, reporting and monitoring solutions using SQL and Python
  • Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets
  • Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers
  • Champion the value of data quality through governance forums, stakeholder engagement and guidance materials
  • Support delivery of the strategic data quality roadmap and key governance outcomes
  • Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services

Skills and experience you need as Senior Data Quality Analyst:

  • Strong experience implementing data quality processes and governance frameworks within complex data environments
  • Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation
  • Experience working with modern cloud data platforms, particularly Databricks
  • Experience profiling datasets and defining data quality rules, controls and monitoring approaches
  • Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams
  • Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar
  • Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams
  • Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI

Qualifications:

  • DAMA CDMP (Certified Data Management Professional) or equivalent.
  • Recognised Data Quality Specialist certification or training.

Desirable:

  • Experience in the insurance or financial services sector.
  • Exposure to data migration or transformation programmes.

At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve,Top Employer status in the UK.

Here are some of the benefits you can enjoy at Ageas:

Flexible Working- Smart Working @ Ageas gives employees flexibility around location (as long as it’s within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.

Supporting your Health-Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities – Mindfulness.

Supporting your Wealth-Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.

Supporting you at Work-Well-being activities, mindfulness sessions, Sports and Social Club events and more.

Supporting you and your Family-Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay.

Benefits for Them- Partner Life Assurance and Critical Illness cover.

Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops.

Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.

Supporting you back to work- Return to work programme after maternity leave.

About Ageas:
We are one of the largest car and home insurers in the UK.Our Peoplehelp Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.

As an inclusive employer, we encourage anyone to apply. We’re a signatory of theRace at Work Charter andWomen in Finance Charter, member ofiCAN andGAIN. As aDisability Confident Leader, we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access tosupport and adjustments throughout your recruit

Related Jobs

View all jobs

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom
£70,000 – £85,000 pa Hybrid

Senior Analytics Engineer

Synthesia London, United Kingdom
Remote

Director of Data & AI

Robert Walters Cheshire, United Kingdom
£110,000 – £120,000 pa On-site

Enterprise Account Manager

Signal AI New York, United States
Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Data Associate with German, Artificial General Intelligence

Amazon London, United Kingdom
Permanent

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.