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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...
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...
Working for a global organisation and joining their data function that is based in the North West of England. Main initiatives will be solving problems, optimising operations and utilising machine learning.What you'll be doing:Work with product owners, engineers and data scientists to understand the domain and dataData modelling and cleansingStore and manage large data sets whilst ensuring it is accessibleUtilise...
Company DescriptionAssystem is an international company with one mission: accelerate the energy transition around the world.Every day, our 7,500 switchers located in 12 countries (Europe, Middle East, Pacific Asia & Africa) connect their six thousand billion neurons to tackle the task of the century: switching to low-carbon energy.We are a collective committed to the actors who are making the energy...
4 x Data Engineer / Cabling Engineers - Monday 24th March - Location, Central London - £180PD - 8 hour working day ****Location - Central LondonRate: - £180PD - 8 hour working day, Min 4 panels terminated per day + Extra pay for every panel over the 4 per day!Duration - 3 monthsCerts - CSCS or ECSJob Responsibilities: Termination of...
Data Engineer3-Month ContractHybrid (1-2 Days in London)£500/day Outside IR35Are you a skilled Analytics Engineer looking for your next contract opportunity? Join a fast-growing company that helps millions of users make smarter financial decisions. You’ll play a key role in transforming data into actionable insights while working with a cutting-edge tech stack, including dbt and Databricks.Responsibilities:Design and build data products that...
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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.
How to navigate opportunities, salaries, and work culture in data engineering across the UK, the US, Europe, and Asia Data engineers are the unsung heroes of the modern business world. While data scientists and analysts often take centre stage for generating actionable insights or building predictive models, these outputs are impossible without robust pipelines, efficient data warehouses, and scalable infrastructures—tasks that fall squarely on the shoulders of data engineers. With data emerging as the "new oil" that fuels competitive advantage, organisations across the globe are racing to hire professionals who can design and maintain the plumbing that keeps information flowing safely and efficiently. In this article, we explore how the UK data engineering job market compares to major international hubs, including the United States, Europe, and Asia. We will evaluate the demand for data engineers, salary benchmarks, work culture differences, and provide guidance for those contemplating remote or overseas opportunities. Whether you’re a seasoned veteran in the field, a recent graduate eyeing your first big role, or a professional pivoting from a related domain like software engineering or database administration, understanding the global landscape of data engineering can help you plot a rewarding career path. By the end of this overview, you’ll have a clearer sense of how data engineering roles differ from region to region, which locations may offer the highest returns—or the best work-life balance—and how to strategise your next move in an industry that’s rapidly evolving.
