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Featured Jobs

£75,000 – £80,000 pa Hybrid Permanent Flexible Clearance Required

Data Architect

As a Data Architect, you will shape the data strategy and architecture of the organisation, working across various business domains to ensure data solutions align with enterprise standards. You'll collaborate with technical architects, agile teams, and stakeholders to deliver robust, scalable, and compliant data architectures, supporting strategic goals and fostering knowledge sharing within the data architecture community.

Triad

Milton Keynes, Buckinghamshire, United Kingdom

£40,000 – £60,000 pa On-site Contract

Senior Front-end Software Engineer ( React, Bazel And Java )

In this role, you will contribute to the migration of a client platform into a Bazel-based monorepo, shape the technical roadmap for test infrastructure, and improve testing practices across the engineering organization. You will work on web-focused test frameworks, data pipelines, backend services, and internal developer tooling, using React, Bazel, and Java.

TEKsystems

London, United Kingdom

£85,000 – £90,000 pa Hybrid Permanent

Databricks Architect

This role involves designing and delivering Databricks-based data platforms, optimizing Azure Databricks ETL/ELT pipelines, and leading greenfield Lakehouse architecture implementations. You will work closely with stakeholders to define data models, establish data governance, and align data architecture with enterprise cloud strategy.

Charles Simon Associates Ltd

Reading, Berkshire, United Kingdom

£90,000 – £100,000 pa Hybrid Permanent

Data Solution Architect

This role involves shaping the design and architecture of data solutions across a large-scale enterprise data estate. You will work closely with product owners, engineering leads, and senior stakeholders to translate business requirements into robust designs, ensuring consistency and reusability across a shared cloud data platform. The focus is on strategic guidance rather than hands-on delivery, with exposure to analytics, data science, and real-time data capabilities.

Data Idols

London, United Kingdom

£650 – £750 pd Hybrid Contract

Head of Data

This role involves designing and owning the end-to-end data architecture, building and improving data pipelines, and establishing robust data models. You will work closely with engineering and product teams to ensure data is reliable, well-modelled, and integrated into core applications. The role requires hands-on technical skills and strategic thinking to transform a fragmented data setup into a cohesive platform.

Opus Recruitment Solutions

Bristol, Bristol (county), United Kingdom

£700 – £750 pd Hybrid Contract Clearance Required

Data Architect

As a Data Architect, you will lead the strategic integration of agentic AI and large language models across the enterprise, defining governance frameworks and advising senior stakeholders. You will collaborate with external AI providers, mentor senior architects, and ensure compliance with enterprise standards.

Experis

Croydon, London, United Kingdom

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Career Advice

Advance your Data Engineering career with expert advice, practical job search tips, and insightful industry guides.

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

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

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

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

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Jobs Careers

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

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

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