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

Apply Now

Data Engineer

Reed Professional Services
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

  • Contract Duration: 6 Months initially
  • Location: London (Hybrid working model - 2 days in the office)
  • Job Type: Contract
  • Inside IR35 (Day Rate £500-550 DOE)


Join a prestigious project with a historic organisation as a Data Engineer. This role involves managing outputs, processes, application, and performance reporting for a key project divided into distinct work streams. This is an opportunity to work in a dynamic environment and contribute to a project that combines traditional practices with modern technological solutions.


Day-to-day of the role:

  • Take ownership of the project’s output stream, ensuring timely and accurate delivery of data management solutions.
  • Support the project deliverables proactively, planning and managing tasks effectively.
  • Provide consultation on data management issues, enhancing the data handling capabilities of the team and the wider business.
  • Develop and implement solutions that can be seamlessly integrated into a production environment to optimize data management practices.


Required Skills & Qualifications:

  • Proficiency in Python for bespoke code development.
  • Experience with Composer, Apache DAGs, Dataflow, and NIFI (note: templates available for quick learning with mentoring).
  • Desirable skills include SQL and Pub Sub.
  • Strong soft skills such as pairing, mentoring, upskilling, knowledge sharing, and excellent communication abilities.


Benefits:

  • Opportunity to work in a hybrid model, promoting work-life balance.
  • Engage with a historic company known for its robust market presence and stability.
  • Gain experience in a high-impact project with significant business implications.


To apply for this Data Engineer position, please submit your CV and a member of the RPS Talent Team will be in touch.

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.

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.

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.

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.