Future Tech Jobs Future Tech Jobs

Senior Data Engineer

Ageas Insurance Limited
Reigate, RH2 0AA, United Kingdom
2 weeks ago
£70,000 – £85,000 pa
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

RSM London, United Kingdom
On-site

Senior Data Engineer

Experis London, United Kingdom
Hybrid

Senior Data Engineer

Opus Recruitment Solutions Bishopsgate, City And County Of the City Of London, EC2M 3UE, United Kingdom
£550 – £600 pd Hybrid

Senior Data Engineer

VIQU IT Fleet Street, City And County Of the City Of London, United Kingdom
£80,000 – £90,000 pa Hybrid

Senior Data Engineer

Gigaclear Shippon, Oxfordshire, United Kingdom
On-site

Senior Data Engineer

Tatton Recruitment South Bank, London, SE1 9PZ, United Kingdom

Salary

£70,000 – £85,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Benefits

35 days holiday (inc. bank holidays) with option to buy and sell days Dental Insurance Health Cash Plan Health Screening Will Writing Voluntary Critical Illness Mental Health First Aiders Well Being Activities – Mindfulness 50% off esure and Sheilas' Wheels motor and home insurance Annual Bonus Schemes Competitive Pension Employee Savings Employee Loans Well-being activities and mindfulness sessions 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’ full pay Partner Life Assurance and Critical Illness cover Deals on various gadgets including Wearables, Tablets and Laptops Car Salary Exchange Cycle Scheme Vehicle Breakdown Cover Return to work programme after maternity leave
Share
Save job
Create job alert

Job Title: Senior Data Engineer
Target Start Date: 20th June 2026
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: £70,000 - £85,000
Location: Eastleigh and Reigate

Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business.

Main Responsibilities as the Senior Data Engineer:

  • Build and support data products within our modern data platform
  • Design and deliver solutions with engineers, scientists and product teams
  • Develop and optimise data pipelines across the analytics platform
  • Integrate data from varied sources with strong quality standards
  • Maintain orchestration, monitoring and performance of data components
  • Improve engineering processes across the wider data community
  • Promote high coding and data practice standards
  • Experiment with emerging data, ML and AI technologies
  • Partner with architects on data product designs
  • Work collaboratively in multi-functional agile squads
  • Support ML and GenAI infrastructure and workflows

Skills and experience you need as the Senior Data Engineer:

  • Passion for building scalable, resilient cloud data platforms
  • Strong experience with Databricks or Snowflake on AWS
  • Proven Python skills, including Spark and Airflow expertise
  • Advanced SQL skills and end-to-end data modelling experience
  • Experience building batch and real-time data integrations
  • Hands-on CICD skills with Git, Jenkins or similar
  • Ability to ingest, cleanse and structure large, diverse datasets
  • Knowledge of Terraform or similar IaC tools
  • Experience with Docker and Kubernetes is beneficial
  • Exposure to production Generative AI is an advantage
  • Strong collaboration skills and a proactive attitude

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-50% off esure and Sheilas' Wheels motor and home insurance, 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 recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please seeAgeas Everyone.

We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.

Our aim is to have great people everywhere in our business and we’re always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we’re open to discussingflexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, seeAbout Us.

Want to be part of a Winning Team? Come and join Ageas.

Click on the ‘Apply button’ to be considered.

Important Notice –

Industry Insights

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

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data Engineering Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Engineering roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.