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Featured Jobs

Data Engineer (AWS)

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...

83zero Ltd
Telford

Cloud Database Administrator

Cloud Database Administrator / Leeds (1-2x per month in the office) / £55,000 - £65,000 About the Role We're seeking a Cloud Database Administrator to help safeguard and evolve a large, AWS-hosted database estate supporting critical business systems in a regulated environment. This is a hands-on role combining strong SQL fundamentals with practical experience operating databases in the cloud. You'll...

Corecom Consulting
Leeds

SAS Data Engineer

SAS Data Engineer Salary: Up to £60,000 + Benefits Location: UK (Public Sector Programme) Security Clearance: SC Eligibility Required We are currently seeking an experienced SAS Data Engineer to join a long-term public sector programme focused on modernising data platforms and delivering secure, reliable data solutions at scale. This is an excellent opportunity to work on meaningful projects that support...

83zero Ltd
Telford

Lead Data Engineer

Lead Data Engineer Salary: £75K - £85K Location: Manchester hybrid Data Idols are working with a data-driven organisation that is expanding its cloud data engineering capability and is looking for a Lead Data Engineer to join the team. This role sits within a modern data engineering function and focuses on designing robust, scalable architectures for data ingestion and analytics, with...

Data Idols
Manchester

Senior Data Engineer - Energy

Our client, a well-established energy business in London, is hiring a Senior Data Engineer to support the next phase of their growth. The role is based in Mayfair and operates on a hybrid basis, with three office days and two remote days per week. Senior Data Engineer – Role Purpose: We are looking for an engineer who is responsible for...

MFK Recruitment
St James's

Senior Data Engineer x1/ Data Engineer x1 (Financial Services)

Your new company Working for a renowned commodity, metals, trades and exchange group. You'll be a key part of the Enterprise Data team helping to replace legacy ETL tools (Informatica) and deliver modern data engineering capabilities. Your work will include managing data pipelines, supporting analysis and visualisation, and collaborating with ETL developers and wider technology teams to deliver solutions aligned...

Hays Technology
London
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Career Advice

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

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.

Jobs

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.

Education Jobs

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.

Jobs

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.

Jobs

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.

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