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OverviewExpleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation. We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe.We are seeking a talented Data Engineer to join our team. As a Data Engineer,...
Data EngineerLondon £75,000Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering) – Clear career progression to Architect level! A Data Engineer (Microsoft Fabric, Data Warehousing, Databricks, ETL, Data Engineering) is needed by a fast-growing Microsoft partner delivering major cloud data projects. They're award-winning, Microsoft-certified, and offer a clear path to becoming a Fabric Architect. You must have:· 3-4 years'...
Data Engineer - Bristol - £45,000 - £52,000This is a great opportunity for an experienced Data Engineer to join a leading software house in Bristol. The role will not only have responsibility for designing, building & optimising data driven solutions, but will also be part of the team incorporating AI & Machine Learning into the product suite.It would suit a...
Data Engineer - Remote - £65,000My client, a growing, high-impact consultancy is looking for a hands-on Data Engineer to join its expert team. Working across a mix of exciting, high-profile clients in various different sectors.You will join their expanding team to build robust platforms and create intelligent solutions.If you thrive in fast-paced environments, enjoy variety in your work, and want...
EY340 Data EngineerLocation: LeedsSalary: £31,000 + Company Vehicle and Tools providedWorking Hours: Monday - Friday (40 hours Per Week)Overview:First Military Recruitment are currently seeking a Data Engineer on behalf of one of our clients. Responsible for supporting the delivery of the Project Services Team to meet customer requirements to improve service delivery standards in respect of new store openings, store...
EY342 Data EngineerLocation: GlasgowSalary: £31,000 + Company Vehicle and Tools providedWorking Hours: Monday - Friday (40 hours Per Week)Overview:First Military Recruitment are currently seeking a Data Engineer on behalf of one of our clients. Responsible for supporting the delivery of the Project Services Team to meet customer requirements to improve service delivery standards in respect of new store openings, store...
Advance your Data Engineering career with expert advice, practical job search tips, and insightful industry guides.
Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.
Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.
As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.
Data engineering is at the heart of modern digital transformation. From building scalable ETL pipelines in finance to designing real-time analytics platforms in e‑commerce, organisations across the UK are investing heavily in data infrastructure. As a result, demand for skilled data engineers—professionals who can ingest, process, store and serve vast volumes of data—is soaring. Yet many aspiring engineers cannot pause their careers to study full time. Thankfully, an extensive range of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master's Programmes—allows you to learn data engineering while working. This in-depth guide covers every route: foundational modules and short courses, hands‑on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re a database administrator, software developer or business analyst aiming to pivot into data engineering, this article will help you map out a tailored path to build in-demand skills without interrupting your professional or personal life.
Assessment centres for data engineering positions in the UK rigorously test your ability to design, build and optimise data pipelines under real-world conditions. Employers use a blend of technical challenges, psychometric assessments, group exercises and interviews to see how you handle data architecture, collaboration and problem-solving at scale. Whether you’re focusing on batch processing, stream engineering or data warehousing, this guide will lead you through every stage with actionable strategies to stand out.
Trying to land your next data engineering job? Discover the 10 most common mistakes UK candidates make—plus practical fixes, expert tips and curated resources to help you secure your ideal role. Introduction From real-time analytics teams in London fintechs to modern data platforms powering Cambridge health-tech, demand for data engineering talent across the UK has never been higher. Yet recruiters on DataEngineeringJobs.co.uk still reject the majority of CVs long before interview—often for small, avoidable errors. We analysed recent vacancies, interviewed in-house hiring managers and mined our most-read resources. The result is a definitive list of the 10 costliest application mistakes, each paired with an actionable fix and a helpful link for deeper learning. Bookmark this checklist before you press Apply.
