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Featured Jobs
Data Engineer Manager
Data Engineer Manager Hybrid - London with 2/3 days WFH Circ £85,000 - £95,000 + Attractive Bonus & Benefits This newly created Data Engineer Managers position is an excellent opportunity for someone that enjoys being hands on technically as well as managing a small team of Data Engineers. It would suit those with official management experience, or potentially a Lead...
Youngs Employment Services
Brook Green
Senior Data Engineer
Senior Data Engineer Salary: Up to £75,000 I am working with a well-established financial services organisation that is undergoing a major transformation of its data and analytics capabilities. The data team plays a critical role in building scalable, cloud-first data solutions that provide actionable insights to support executive and operational decision-making. These insights underpin the organisation's growth strategy across both...
Tenth Revolution Group
Oxford
Lead Data Engineer
Are you a skilled Data Engineer looking to step into the world of architecture? An exciting opportunity has opened for an experienced Data Engineer to join our national Data & Analytics function at a time of significant technical modernisation. The team is about to embark on a greenfield project to build a futureproof data warehousing platform using Azure Data Factory ...
Big Red Recruitment Midlands Limited
Whittington, Warwickshire
Data Engineer - £350PD - Remote
Data Engineer - £350PD - Remote Required Technical Skills Data Pipeline & ETL Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data Hands-on experience with AWS Glue and AWS Step Functions Implementation of data validation, data quality frameworks, and reconciliation checks Strong error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns...
Tenth Revolution Group
City of London
Fabric Data Engineer - Hybrid - 75k - Winchester
Fabric Data Engineer - Hybrid - 75k - Winchester Are you ready to take your data engineering career to the next level? I'm working with a leading UK consultancy that's driving digital transformation through Microsoft Fabric and the Power Platform. They're looking for a Senior Microsoft Fabric Data Engineer Consultant who's passionate about solving complex challenges and delivering real business...
Tenth Revolution Group
Winchester
Senior Data Engineer
Senior Data Engineer | AI-First SaaS Scale Up London | Hybrid (MonWed in office) £up to £80,000 DOE Ref: J13026 We're partnering with a fast-growing AI-first SaaS company building a modern data and AI platform used by global clients. As they scale, they're looking for a Senior Data Engineer who thinks in systems, not projects . Someone who understands what...
Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable.
Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia.
If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work.
This guide is written for data engineering job seekers in the UK. We’ll cover:
What neurodiversity means in a data engineering context
How ADHD, autism & dyslexia strengths map to common data engineering tasks
Practical workplace adjustments you can request under UK law
How to talk about your neurodivergence in applications & interviews
By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.
As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function.
Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines.
Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.
Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers.
Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.
For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more.
Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted.
In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.
Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams.
If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.
Data is now the lifeblood of the digital economy. Every industry—healthcare, finance, retail, manufacturing, transport, and government—relies on data to make decisions, power applications, and enable innovation. But raw data is only valuable if it can be collected, processed, cleaned, and made available for analysis. This is the role of data engineering.
Over the past decade, data engineering has emerged as one of the fastest-growing areas of technology. Data engineers design and build the pipelines, platforms, and architectures that allow organisations to harness the power of big data, cloud services, artificial intelligence, and machine learning. Without them, the data economy would grind to a halt.
The United Kingdom is uniquely placed to become the world’s next data engineering jobs hub. With its thriving tech ecosystem, leading universities, strong financial markets, and expanding data infrastructure, the UK already has many of the foundations needed. This article explores why the UK has this opportunity, what is driving demand, the career prospects for professionals, and what must happen for the UK to seize global leadership in data engineering jobs.
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