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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

Snowflake DevOps Engineer - Fully Remote - £450/pd

Snowflake DevOps Engineer - Fully Remote - £450/pd (Outside IR35) Please note - this role is only open to applicants who are based in the UK with the unrestricted right to work in the UK. This organisation is not able to offer sponsorship. About the Role We are seeking an experienced Snowflake DevOps Engineer to join our team on a...

Tenth Revolution Group
City of London

Data Engineer

Are you a Senior Data Engineer with iGaming or Gambling experience, looking to build and scale modern data platforms? BENEFITS: £80,000–£95,000 depending on experience, fully remote, excellent benefits package You’ll be joining a fast-growing iGaming and online casino company operating a custom-built platform that supports millions of player interactions. The business is a recognised leader across sports betting and online...

Eligo Recruitment Ltd
Chaucer

Data Engineer

Data Engineer / London OR Newcastle / Hybrid / Contract We're recruiting a Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation. This is an opportunity to work on modern data platforms, integrating multiple data sources and enabling high-quality, accessible...

Vivo Talent
London

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.

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.

Jobs

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.

Jobs

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

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.

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