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.
We have an exciting opportunity to support our Manchester based client on a 6 month Data Engineer contract role.We are looking for a visionary individual to lead the creation of a high-performing, scalable, and compliant data platform. Your role will involve modernizing current ad-hoc data solutions using advanced technologies to generate high-quality data for analysis.Responsibilities:Collaborate with business users to design...
We are seeking a dedicated and detail-oriented Data Engineer for our Analytics department. The successful candidate will have the opportunity to harness and refine data to optimise performance within the Energy & Natural Resources industry.Client DetailsMy client is a fast-growth external maintenance business and biodiversity expert committed to enhancing and improving the physical environment.We have a strong commitment to sustainability,...
Data EngineerLocation: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.Package: £38,350 - £50,000 (depending on your suitability, qualifications, and level of experience)Working pattern: AWE operates a 9-day working fortnight.Let us introduce the roleAWE is currently recruiting for 2 Data Engineer's/Analyst's for the IS Modernisation group.Responsibilities:Learn how to use best-in-class data integration software that is recognised across industry.Work...
Data Engineer (Cloud)Glasgow/Hybrid - 2 days in the city centre office per week£55k + final salary pension = excellent holidaysThis is an excitingopportunity for a Data Engineer to join a team focused on innovation .You will be joininga leading public sector body focused on delivering crucial services tocustomers across Scotland. In recentyears they have invested significantly in their cloud infrastructure...
Join a leading business at the heart of their market, known for embodying excellence in their field. This is an exciting opportunity to work within a real family community atmosphere and extend your technical capabilities as a Data Engineer.Data EngineerAnnual Salary: £45,000 - £50,000Location: North TynesideJob Type: Hybrid (2 days in office per week)The CompanyThis business are approaching 25 years...
Data Engineer£50,000 - £60,000 plus benefits including flexible working, generous holiday allowance, private healthcare, enhanced pension and lots moreTamworth, B79 (remote / WFH – 2-3 days per month in the office)Keywords: Data Engineer, Data Engineering, Data Analysis, SQL, ETL, Data Modelling, Python, PySpark, Azure, Data Models, Data Pipelines, Telecommunication, Telecoms, FabricMy client, a well-established Telecommunications provider with an excellent reputation,...
Discover insightful articles, industry insights, expert tips, and curated resources.
Data engineering has become a foundational pillar for organisations seeking to leverage their data assets effectively. From building robust data pipelines and integrating real-time analytics to migrating entire infrastructures to the cloud, skilled data engineers drive innovation and growth. In the United Kingdom, demand for data engineering professionals spans multiple sectors, including finance, healthcare, retail, tech start-ups, and government services. However, if you’re an international data engineering specialist looking to build or advance your career in the UK, one critical step stands before you: navigating the visa and work permit landscape. This comprehensive guide breaks down key visa routes, eligibility criteria, and practical steps to help you secure employment and settle into the UK’s thriving data ecosystem. Whether you specialise in ETL processes, big data platforms, or cloud infrastructure, understanding the UK visa system is the first step toward realising your ambitions.
Data is the new “oil” of the modern digital economy, but it only becomes valuable when refined into usable insights. That’s where data engineering steps in—building the pipelines, architectures, and systems that underpin data-intensive applications across every sector. From healthcare analytics to streaming media platforms, from cutting-edge AI research to real-time financial trading, the demand for robust data infrastructure is constantly growing. In the United Kingdom, data engineering has emerged as a fast-expanding field, supported by world-class universities, cutting-edge research institutes, and a thriving tech industry. In this guide—brought to you by DataEngineeringJobs.co.uk—we explore the top UK labs and institutes driving data engineering innovation, examine the country’s data-focused ecosystem, and outline the career paths that can lead you to success in this vital discipline.
Introduction Data engineering has emerged as a critical and fast-growing field in today’s business landscape. With organisations across every industry striving to collect, organise, and derive insights from massive volumes of data, the demand for talented data engineers continues to surge. These professionals design and maintain the frameworks that power data pipelines, ensuring that large datasets can be processed efficiently, securely, and accurately to support analytics and machine learning initiatives. Despite the expanding opportunities, breaking into data engineering can be challenging—particularly if you lack hands-on experience with real-world systems. Even those who have completed relevant degree programmes, bootcamps, or online courses often find themselves seeking more practical knowledge and industry exposure. That’s where shadowing and mentorship become pivotal. Observing seasoned data engineers at work and receiving guidance from mentors can fast-track your learning, helping you bridge the gap between theoretical knowledge and the daily realities of data infrastructure. This article explores how to identify mentors, build productive mentor-mentee relationships, and engage in shadowing opportunities that deepen your technical and professional skills. From landing an internship to leveraging online communities, we’ll cover actionable strategies to strengthen your profile and confidently pursue your first full-time role in data engineering.
Data sits at the heart of modern business. From predictive analytics in finance to personalised recommendations in e-commerce, virtually every sector relies on data to make informed decisions, optimise operations, and drive innovation. Yet, as data volumes grow exponentially, so does the complexity of managing and utilising it effectively. In this evolving environment, data engineering has emerged as a critical discipline—responsible for designing, building, and maintaining the pipelines that transform raw information into actionable insights. If you’re looking to break into this vibrant and future-oriented field, data engineering apprenticeships offer a hands-on, cost-effective route. Designed to fast-track your skills, apprenticeships combine formal training with practical, on-the-job learning. Whether you’re a school leaver or a professional seeking a career change, this guide will walk you through everything you need to know about data engineering apprenticeships in the UK—from the roles you might undertake, to the skills you’ll master, and the exciting career paths that await.
Data engineering stands at the core of modern business intelligence, analytics, and machine learning initiatives. As more organisations become data-driven, the demands on data engineers—everything from building robust pipelines and optimising data warehouses to cleaning and transforming petabytes of raw information—only intensify. Yet, remaining innovative and creative in this rapidly evolving space can be challenging when faced with routine maintenance, endless transformations, and the pressure of meeting tight deadlines. So, how do data engineers stay inspired and consistently generate new ideas? Below are ten actionable strategies to help data pipeline experts, ETL developers, and cloud data architects maintain an inventive outlook, even when operations are complex and the stakes are high. If you’re looking to expand your skills, tackle challenges from fresh angles, and reinvigorate your passion for data engineering, these tips can guide you toward a more fulfilling and impactful career.
Data is the lifeblood of modern businesses. Whether it’s guiding strategic decisions, powering advanced analytics, or fuelling machine learning models, the role of data has evolved from a back-office function to a primary driver of innovation. In this ecosystem, data engineers serve as architects and builders, designing the infrastructure and pipelines that allow organisations to collect, transform, and mobilise data efficiently. Despite the importance and rapid growth of this field, plenty of myths and misconceptions continue to cloud the realm of data engineering. Are data engineers merely “ETL developers”? Does the role only exist in big tech companies? Must you be a Python guru with a master’s degree in computer science? At DataEngineeringJobs.co.uk, we see firsthand how these myths can deter aspiring professionals from stepping into one of the most dynamic fields in data. This article aims to dispel the top 10 misconceptions about data engineering careers—shedding light on the real opportunities, necessary skills, and diverse pathways that define this vital profession. Whether you’re a student considering data engineering as your future vocation or a seasoned professional seeking a career pivot, read on. You might discover that data engineering is more inclusive and wide-ranging than you ever imagined.
