Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer (Contract)

Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer Data Science/Java/Python/Unix

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Data Science Engineer- eDV Clearance

Data Science Engineer

Data Engineer (Contract)

An established Renewable Energy company based in Manchester are currently on the lookout for a Data Engineer to help them on an internal project on an initial 6-month contract.

If you have experience working within the Energy / Utilities sector this will be an advantage.

Details:

Data Scientist
6 months (initial contract)
Hybrid Remote (Manchester)
£350/day (Outside IR35)

Key responsibilities:

Lead design, development, and maintenance of Databricks solutions and databases.
Manage workstreams to create solutions that extract, transform, cleanse, and load data (ETL/ELT).
Conduct unit, system, and performance tests and creating comprehensive documentation.
Follow agile project delivery methodologies.
Stay up to date on the latest data engineering trends and technologies.

Krey Skills / Experience:

Databricks - hands on experience developing engineering solutions in Databricks ecosystem, including Unity Catalog, and cluster administration.
SQL - writing optimised and complex queries and understanding of relational databases.
Python - we specialise in Python solutions.
DevOps - hands on experience using tools like Terraform for IAC, and Azure DevOps for CI/CD.
Microsoft Azure - Data Factory, Data Lake, Azure SQL Server.
Microsoft Fabric - or another spark engine.
Visualisation tools - Power BI / Tableau.

Please click APPLY or send your CV to , if you are a Data Engineer, with expertise in Cloud platforms Databricks.

In Technology Group Ltd is acting as an Employment Business in relation to this vacancy

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.