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

Nominate & Attend

Data Engineer

Mirai Talent
Slough
4 days ago
Create job alert

Data Engineer

  • Azure Data Stack
  • Interesting project pipeline
  • Flexible work setting - hybrid / remote
  • 10% bonus


We are on the lookout for a Data Engineer who will play a key role in analysing, documenting, and implementing data solutions to enable analytics across the business. You’ll play an integral part in claims and supporting management information dashboards through the automation and streamlining of data processes.


What you’ll be doing:

  • Build and maintain data warehouses on the Azure Cloud and create one source of truth data sets to drive consistency and ease of business reporting
  • Work with multiple business customers (Underwriting, Operations, Technical Accounts, Finance, Actuarial, Claims etc.) to collate, update and balance monthly/quarterly data by implementing repeatable automated processes
  • Liaise with business customers and IT to produce accurate Management Information and data flow automation, including data reconciliation with Finance, Technical Accounts, and Actuarial departments
  • Interact with IT, Underwriting, Operations, Technical Accounts, Finance, Actuarial and Claims to ensure data accurately and appropriately reflects the business and meets business requirements
  • Support UK/EU Statutory/Regulatory reporting by automating data retrieval and reporting forms, as necessary
  • Liaise with IT to provide adequate management information systems and processes with appropriate security controls
  • Provide support to the enterprise to enhance automation across the business • Complete duties as assigned.
  • To maintain compliance with any applicable UK or International statutory or regulatory obligation as required by the role.


What you can bring:

  • Experience in working in the insurance industry, particularly in claims - beneficial
  • Strong SQL skills and knowledge of VBA, R, Python a plus
  • Expert knowledge of Excel, Word, and Access
  • Team Player with good communication and presentation skills
  • Strong planning and organization skills
  • Ability to work with a variety of disciplines outside of the department
  • Accuracy and attention to detail
  • Bachelor’s degree in computer science, math, actuarial science, or other quantitative majors
  • 2-5 years of work experience with Analytical users (e.g. Actuaries and Finance)
  • Experience in industry preferred
  • Experience working in Cloud based data/analytics environments preferred
  • Experience with BI tools/systems including Power BI


What’s in it for you?

  • Competitive salary
  • Up to 10% bonus
  • Private health and medical care
  • Lots more!


Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners' teams. This is just one of the ways that we’re taking positive action to shaping a collaborative and diverse future in the workplace.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.