Data Engineer (AWS)

83zero Ltd
Telford
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (AWS)

Location: Telford / Worthing Base Locations (Hybrid 2-3 days onsite)
Salary: £50,000 - £60,000 + Bens, Perks, Healthcare Options, Unlimited Training Budget
Security Clearance: Must be eligible for SC Clearance (5+ years UK residency)
Sector: Public Sector & Government Client

Build the Data Infrastructure That Powers the Public Sector

We are looking for experienced Data Engineers to join a long-standing, high-impact public sector partnership. This isn't just about moving data; it's about modernizing essential services and delivering secure, reliable data products at scale. You will play a pivotal role in shaping engineering design, mentoring talent, and helping our clients reimagine what's possible through technology.

The Role

As a Senior member of our engineering team, you will:

Design & Implement: Create robust, secure, and performant data integration solutions (both batch and near-real-time).
Build & Optimize: Develop and improve end-to-end data pipelines-from ingestion to curation-ensuring high availability through rigorous monitoring and alerting.
Collaborate: Work closely with product teams and client stakeholders to align technical decisions with cost, performance, and security requirements.
Innovate: Support incident resolution and contribute to our internal Engineering Communities of Practice.
Lead: Actively participate in Agile ceremonies and mentor junior colleagues to grow our collective capability.Your skills and experience ​

Strong SQL and hands-on experience with data modelling.
Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
Experience with databases/data platforms (ideally Oracle or Cloudera)
Knowledge of cloud platforms (ideally AWS)
Good experience with programming/scripting languages (e.g. Python, Bash).
Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control.
Excellent client-facing and consultancy skills.NOTE: This role requires Security Check (SC) clearance. To be eligible, you must have resided continuously in the UK for the last 5 years

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.