Data Engineer

Reed Professional Services
London
1 year 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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

🍪 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.