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Junior to Mid-Level Data Engineer – Financial Services | Strong Kafka/Streaming Focus- London/Hybrid (2 days per week) – Up to £70K (DOE)My client, an innovative and rapidly expanding Financial Services organisation, is seeking a Junior to Mid-Level Data Engineer to join their highly technical data team. This is a unique opportunity to be part of a forward thinking company where...
Data Engineer📍 Bristol - Hybrid 1 - days per week on site💰 £600 (neg) per day Inside IR35🌟 What You'll Be DoingProviding expertise newly formed Analytics & Data Team and support the team in building tools and data processes.Build the Backbone: Design and maintain scalable, reusable data pipelines that power analytics and AI initiatives.Bridge IT & Data: Lead the integration...
Data Engineer (Contract, Hybrid/Office-Based) – Warwick, UKAre you passionate about transforming data into actionable insights? Do you thrive in fast-paced environments where your skills directly impact business decisions? We are seeking an experienced Data Engineer to join our team on a contract basis in Warwick, UK.About the Role:As a Data Engineer, you will be at the forefront of managing and...
Data EngineerI am looking for a Data Engineer to join an established retailer as they look to migrate to Microsoft Fabric. They are looking to integrate a number of their data systems into one fully-scalable solution and create a brand-new data warehouse that will enable data to be readily available for reporting.The business have office locations around the UK, however...
Data EngineerI am looking for a Data Engineer to join an established retailer as they look to migrate to Microsoft Fabric. They are looking to integrate a number of their data systems into one fully-scalable solution and create a brand-new data warehouse that will enable data to be readily available for reporting.The business have office locations around the UK, however...
Dublin 2 Location, 2days/week on siteOpportunity to play an active role in setting our client's Data Strategy€70k-€80k/year + 15% bonus + benefitsYou’ll work alongside a small but dedicated Data Team, reporting to the Data Manager, and collaborate with one other Data Engineer and a Systems Analyst.This is a hybrid role offering the chance to contribute to both operational and strategic...
Advance your Data Engineering career with expert advice, practical job search tips, and insightful industry guides.
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.
Discover ten of the strongest UK universities for Data Engineering degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the fuel of the digital economy, and turning raw records into reliable, analysis-ready information is the job of the data engineer. From building lake-house architectures to orchestrating near-real-time pipelines, demand for these skills is soaring across finance, retail, health-tech and government. The UK boasts several universities recognised internationally for large-scale data systems and scalable computing. Below we profile ten institutions whose undergraduate or postgraduate pathways major on data engineering. Tables shift each year, but these universities have a consistent record of excellence in teaching, research and industry collaboration.
Learn how to craft the perfect cover letter for data science jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data science sector. When applying for a data science job, your cover letter is an essential part of your application. The data science field is highly competitive, with many candidates vying for the same roles. Your cover letter allows you to showcase your technical expertise, analytical skills, and your ability to apply data to solve real-world problems. It’s the perfect opportunity to demonstrate your passion for data and your understanding of how it can drive meaningful insights for an organisation. Whether you're new to data science, making a career switch, or looking to advance your skills, this article will guide you through a proven four-paragraph structure to craft a compelling cover letter. We’ll provide sample lines and tips to help you stand out in the highly competitive data science job market.
