Data Engineer

Coaction Recruitment Ltd
Manchester
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Description

Data Engineer

£65,000 to £75,000 basic salary per annum plus an excellent benefits package including bonus, pension, 25 days holiday (can buy up to 10 additional days), two wellness days, two volunteering days, healthcare scheme, excellent career development plans (courses & certifications), hybrid working (1–2 days per week in the office), and more.

Our client, a leading UK law firm ranked as one of the best companies to work for in the country, is seeking a Data Engineer to join their growing AI team on a permanent basis. This is a fantastic opportunity to join an innovative law firm where the utilisation of AI has become fundamental to their business strategy.

Reporting to the Head of AI & Innovation, and working with a small team of Data Engineers, you will play a key role in building a greenfield Azure / Fabric-based data platform to support firm-wide analytics and client-facing AI products. The successful Data Engineer will have experience across cloud and on-prem technologies and a keen, demonstrable interest in working with AI.

Essential skills:

  • At least 5 years of Data Engineering experience
  • A proven end-end project leader across all aspects of the project lifecycle
  • SQL
  • Python
  • Cloud (Azure) and on-prem technologies
  • Strong, demonstrable interest in AI

This is a rare opportunity to join a law firm where AI is a genuine strategic priority, working in a greenfield environment with the backing to build and shape a modern data platform from the ground up. This role will suit someone who enjoys variety in their day-to-day work and has ideally been involved in the build of a brand-new data platform previously.

If you are interested, please click the “apply now” button.

Add me on LinkedIn to stay up to date with new opportunities - search “Ollie Cottrill” and you’ll easily find me.

Coaction Recruitment Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers.

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.