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

Apply Now

Data Engineer

Reed Professional Services
London
9 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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.