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

Nominate & Attend

Data Engineer

Mirai Talent
City of London
1 week 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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

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

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.