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

Apply Now

Data Engineer

Experis UK
Telford
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Overview

Join to apply for the Data Engineer role at Experis UK

Job Title: Data Engineer
Duration: 6 months
Location: Telford with 2 days/week in office
Rate: £550 per day - PAYE via umbrella

Job Description

SC is required for this role. Demand in the AEOI programme space is expected to increase necessitating the stand-up of an additional team to support continued work on the DPRS regime, and for new work landing with the CARF regime. We have demand for an experienced developer to join our team working in the data engineering space. Our development team work on data management and ETL project deliveries and require an additional developer with experience and expertise in data driven projects and ETL based solutions. We are a large, long-standing team working across multiple concurrent projects delivering ETL solutions within the same delivery area. The role will be with one of the existing project teams and will require someone experienced with working in a fast-paced delivery environment for that team's specific solution delivery, with an expectation of collaboration with the wider team assisting other projects and inputting to the common framework the team work from. This developer role will be primarily working on Talend and Oracle RDS systems, within our existing Talend framework and patterns.

Experience of working with the Talend ETL tool is required as a minimum, as well as experience working in Oracle RDS databases. Experience of developing CI/CD deployment pipelines, jobschedule tooling, and SQL will also be beneficial. Experience of ETL tooling will be needed, preferably Talend but Pentaho/Informatica experience will be transferable.

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • Staffing and Recruiting


#J-18808-Ljbffr

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.