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Data EngineerI am working with a data driven Microsoft partnered consultancy who are looking for a Databricks Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Databricks implementations.You will join a team at the centre of a number of data-driven projects where...
Data EngineerI am working with a data driven Microsoft partnered consultancy who are looking for a Databricks Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Databricks implementations.You will join a team at the centre of a number of data-driven projects where...
Data EngineerI am working with a data driven Microsoft partnered consultancy who are looking for a Databricks Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Databricks implementations.You will join a team at the centre of a number of data-driven projects where...
Data EngineerI am working with a data driven Microsoft partnered consultancy who are looking for a Databricks Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects on Databricks implementations.You will join a team at the centre of a number of data-driven projects where...
Data Engineer Position based in Horsham or WatfordWe are seeking a highly skilled and motivated Data Engineer – Power BI to lead the design, development, and implementation of Business Intelligence (BI) solutions. This role involves engaging with stakeholders across the organisation to deliver insightful, data-driven reports that support strategic decision-making.Location: Astral House, Imperial Way, Watford WD24 4WW or Albion House,...
Data Engineer | 6-Month Contract | London - Vauxhall (2 Days/Week Onsite) | £500–550/day Outside IR35Join a high-impact data team powering one of the UK’s leading consumer finance platforms. This Data Engineer role is a 6-month contract offering hybrid flexibility in a collaborative environment focused on delivering data solutions that scale.The company helps millions of users globally manage their credit...
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Data has become one of the most valuable assets in today’s digital age, enabling organisations to make data-driven decisions, optimise processes, and deliver improved services. Nowhere is the potential impact of robust data engineering practices more significant than in the UK public sector. From the National Health Service (NHS) to the Government Digital Service (GDS) and the Ministry of Defence (MOD), large volumes of data are continually generated and processed, creating a rising demand for data engineering jobs. In this blog post, we’ll explore why data engineering is so essential for public sector bodies, the range of roles available, the skills and qualifications needed to excel, and how you can secure a highly rewarding career in this domain. Whether you’re a seasoned data professional or just starting out in tech, read on to discover how to make a meaningful impact through data engineering jobs in the UK’s public sector.
Data engineering sits at the heart of modern data-driven organisations. As businesses scramble to harness the power of data—whether for advanced analytics, real-time decision-making, or next-generation AI applications—data engineers have become indispensable. By 2025, the UK data engineering landscape will be bustling with opportunities, from small tech start-ups pushing the boundaries of streaming analytics, to large enterprises migrating massive on-premise data warehouses to the cloud. With this burgeoning demand come lucrative compensation packages. However, data engineering professionals can choose among several distinct types of employment. Day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions each have their own advantages and drawbacks. If you are curious about which path might pay better in 2025—and which aligns best with your career ambitions—this guide is for you. Here, we will: Explore the UK data engineering job market in 2025. Compare contract vs. FTC vs. permanent roles, with pros and cons. Provide sample take‑home pay scenarios to help you visualise real earning outcomes. Discuss other critical factors like job security, development, and work–life balance. By the end, you will have a clearer sense of the financial and professional trade-offs involved, and be more prepared to chart the next phase of your data engineering career.
Building the Data Highway Needs More Than Coders When you hear “data engineer,” you might picture someone wrangling Spark clusters and writing Terraform scripts. Yet, just as motorways rely on planners, surveyors and safety inspectors, modern data platforms need strategists, product owners, quality guardians and communicators. Deloitte’s UK Data Talent Study 2024 found that 38 % of open “data‑engineering” vacancies are primarily non‑technical, focusing on governance, quality, programme delivery and stakeholder alignment. With British organisations investing an estimated £24 billion in data modernisation through 2026 (Gartner), demand for professionals who can translate business objectives into data strategy has never been higher. If you excel at process design, storytelling or change management, this guide shows where you fit in—no SQL required.
From building the data lake that powers the 2024 Paris Olympic Games to operating one of Europe’s fastest exascale supercomputers, Atos (and its digital spin‑off Eviden) sits at the heart of large‑scale data transformation. The company’s Big Data & Security and Digital Business Platforms units design, build and run cloud‑native analytics stacks for governments, telecoms, financial services and retailers worldwide. With the split of infrastructure services into Tech Foundry and digital/AI into Eviden completed in January 2025, Atos is doubling down on data engineering talent. The Atos careers site currently lists 400+ UK vacancies, more than 150 tagged “Data & AI”. Whether you’re a Python‑Spark aficionado, an ELT wizard on Azure Synapse, or a solution architect who can turn legacy mainframe feeds into real‑time dashboards, this guide explains how to land an Atos data‑engineering job in 2025.
In the modern data-driven era, businesses in every sector—retail, finance, healthcare, and beyond—are constantly gathering large volumes of information to power insights and fuel decision-making. Consequently, the demand for data professionals has skyrocketed, with Data Engineering jobs in particular experiencing rapid growth. However, many job seekers remain unsure about how Data Engineering differs from Data Science or Data Analytics, or which role aligns best with their interests and career aspirations. This comprehensive guide will demystify the key differences among Data Engineering, Data Science, and Data Analytics. We’ll explore overlapping and distinctive skills, delve into typical job responsibilities, discuss salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer understanding of which path might suit you best. And when you’re ready to move forward, visit www.dataengineeringjobs.co.uk to explore the latest vacancies and take the next step in your data-focused career.
In an era where data is fueling decision-making and driving innovation across industries, data engineering has emerged as a pivotal career path. Rather than just collecting and storing information, data engineers design and maintain sophisticated pipelines that transport, transform, and store massive datasets—enabling data scientists, analysts, and business teams to glean meaningful insights. If you’re researching opportunities on www.dataengineering.co.uk, you may be wondering: “Which programming language should I learn first for a career in data engineering?” It’s a great question. Data engineering spans a wide range of tasks—ETL pipelines, real-time streaming, data warehousing, big data frameworks, and more—requiring a versatile toolset. Languages like SQL, Python, Scala, Java, Go, and R each play unique roles in building robust data infrastructures. In this guide, you’ll discover: Detailed overviews of the top programming languages in data engineering. Pros, cons, and industry relevance for each language. A simple beginner’s project to sharpen your data engineering skills. Essential resources and tips to help you thrive in the job market.
