Data Engineer - SC Contract

Searchability NS&D
Telford
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

  • Telford location - 2 days on site p/week
  • Active SC required
  • Up to £480/d inside ir35
  • 6-month duration
  • Experience required in Data Integration, Data Pipelines, SQL, ETL, and client consultancy

Role Opportunity

We are seeking experienced Data Engineers to join our expanding team within a long-standing public-sector partnership. In this key role, you will support data acquisition, preparation, and management projects, helping modernise services and deliver secure, scalable data solutions. This is an opportunity to influence engineering design, build team capability, and create tangible value for clients.

Key Responsibilities:

  • Design and implement secure, high-performance data integration solutions (batch and near-real-time).
  • Build, operate, and optimise data pipelines with monitoring, alerting, and SLAs.
  • Collaborate with product teams and clients to refine requirements and align with non-functional needs (cost, performance, security).
  • Support incident resolution and maintain service continuity.
  • Mentor colleagues, share knowledge, and contribute to engineering communities of practice.
  • Participate in Agile ceremonies and work cross-functionally with engineers, analysts, and business teams

Key Skills Required:

  • Strong SQL and hands-on data modelling experience.
  • Proficiency with ETL/ELT tools (Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
  • Experience with databases/data platforms (Oracle or Cloudera preferred).
  • Knowledge of cloud platforms (AWS preferred).
  • Programming/scripting skills (e.g., Python, Bash).
  • Solid understanding of data engineering fundamentals: integration, transformation, orchestration, and version control.
  • Excellent client-facing and consultancy skills.

To be Considered:

Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies. I look forward to hearing from you!

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.