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Featured Jobs

Senior Data Engineer

Senior Data Engineer About the Role We are looking for a Senior Data Engineer to join a leading Microsoft partner that is modernising data platforms and delivering innovative analytics solutions for organisations across the UK. You will work closely with clients to understand their business challenges before designing tailored solutions that improve efficiency, drive self‑service reporting and support long‑term scalability....

Tenth Revolution Group
Oxford

Senior Data Engineer

Senior Data Engineer (Databricks) Location: London (Hybrid) Rate: Negotiable, depending on experience Duration: 6 months (initial) We’re looking for a Senior Data Engineer (Databricks) to join a world-leading energy organisation on a key transformation programme within their trading and supply division. This is an exciting opportunity to play a pivotal role in building modern, scalable data solutions using Azure cloud...

Certain Advantage
South Bank

Data Governance Lead

Data Governance Lead Telford Permanent £40,000 - £45,000 + Extensive Employee Benefit Package Monday–Friday Our extremely well-established client in Telford has asked us to recruit a new Data Governance Lead. This is a newly created position, designed to bring their data protocols up to date and ensure compliance and governance across the organisation. As Data Management Lead, you will take...

Prince Personnel Limited
Telford

Senior Data Engineer

Senior Data Engineer About the Role We are looking for a Senior Data Engineer to join a leading Microsoft partner that is modernising data platforms and delivering innovative analytics solutions for organisations across the UK. You will work closely with clients to understand their business challenges before designing tailored solutions that improve efficiency, drive self‑service reporting and support long‑term scalability....

Tenth Revolution Group
London

Lead Data Engineer

I'm working with a world-class technology company in Edinburgh to help them find a Lead Data Engineer to join their team (hybrid working but there is flex on this for the right person). This is your chance to take the technical lead on complex, large-scale data projects that power real-world products used by millions of people. The organisation has been...

Cathcart Technology
Edinburgh

Senior BI Data Engineer

BI Data Architect Edinburgh - office based Head Resourcing are pleased to be working with a global manufacturer who are headquartered in Scotland as they look to hire a talented BI Data Architect. Our client is a long-established, family-owned business with global operations producing a wide range of high-quality products. The BI Data Architect is a new position within our...

Head Resourcing
Edinburgh

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Career Advice

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

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.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

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.

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

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.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

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.

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