Stop endlessly searching. We'll send you relevant jobs directly to your inbox.
Receive alerts for jobs that match your skills, experience, and career goals.
Be the first to apply with instant email alerts for new job postings.
Transform Healthcare with Cutting-Edge Tech! 🚀Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + BenefitsAre you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through advanced technology? If so, we have an incredible opportunity for you!Join our trailblazing team as a Data Engineer and play a pivotal role in building...
Prestigious opportunity with a Market Leading Global Retail organisation for a Data Engineer to join our success story in Blackburn. Following a period of significant growth, we are expanding our team to further drive the business forward.You will be responsible for:-Designing, building and maintaining scalable data pipelines using Python, MS SQL server and robust data pipelines to transform and store...
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...
Analytics/Data Engineer📍 Location: Leeds - 2 days per week in the office💰 Salary: Up to £80,000 per annum + Benefits🚀 Help Build a Brand-New Data Function from the Ground UpWe're working with a fast-growing, tech-enabled business that's leading the way in its sector - and now they're kicking off a huge transformation in how they use data.This is your chance...
Shields Talent are working exclusively with a charity based in Edinburgh that are looking for a Data Engineer to join their team on a 12-month fixed term contract.In this role the Data Engineer will work with the data team to develop a new data warehouse solution with the required data pipelines to support the delivery of their strategy. Supporting the...
Data EngineerTerm: Full-time, PermanentLocation: High Wycombe with hybrid remote working availableSalary: £50000 - £65000 pa depending on experience + excellent benefitsFocusrite are looking for an experienced data engineer to join our business intelligence team. You'll help us build and maintain a robust yet flexible data stack, delivering high quality information where it's needed (and keeping it secure where it's not!).We...
Discover insightful articles, industry insights, expert tips, and curated resources.
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.
Learn how to craft the perfect cover letter for data engineering jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data engineering sector. When applying for a data engineering job, your cover letter is a vital component of your application. The data engineering field is critical for organisations that rely on big data to make informed decisions, and a well-crafted cover letter will allow you to demonstrate your expertise in data management, data architecture, and data pipeline construction. Writing a cover letter for a data engineering role can seem challenging, but with the right structure, it becomes much easier to highlight your strengths. Whether you're just entering the field, transitioning from another role, or seeking to advance your career in data engineering, this article will walk you through a proven four-paragraph structure. We’ll provide sample lines and practical tips to help you create a cover letter that stands out from the competition in the data engineering job market.
Introduction Every modern mission—whether directing humanitarian aid, mapping enemy positions, or forecasting equipment failures—runs on data. The same is true for British business. The UK Big Data & Analytics market is forecast to hit £36 billion by 2026 (IDC), and Gartner reports that data engineering vacancies grew 38 % in 2024, outpacing data‑science demand for the first time. Organisations urgently need professionals who can collect, clean, and pipeline petabytes of information—exactly the logistical, analytical, and security‑minded tasks veterans perform in theatre. If you’ve routed tactical sensor feeds, managed supply‑chain databases, or written Python scripts to crunch signal logs, you already think like a data engineer. This guide maps military skills to civilian data‑engineering roles, spotlights Ministry of Defence (MoD) transition funding, and shows you how to secure a rewarding second career building the pipelines that power AI and business intelligence. Quick Win: Browse our live listings for Data Pipeline Engineer roles to see which employers are hiring this week.
Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.
Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.
Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.
