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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 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 - 4/5 Month contract - £180PD - 8 hour working day - Bex-Hill- on-sea, Hastings ****Location: - Bex Hill, HastingsDuration: - 4/5 monthsStart Date: ASAP startDay Rate: £180PD Based on 8 hour working dayCerts - ECS/CSCSJob Responsibilities: Cabling works, Cable Pulling, Taking instructions off lead engineerExperience: As aboveTools / PPE - Basic Hand tools, Full PPE (5 point...
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...
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How to Secure a Compensation Package That Reflects Your Value in the UK’s Fast-Growing Data Ecosystem Introduction Data engineering has quickly become the backbone of modern business operations. Whether powering analytics platforms, migrating data to the cloud, or building pipelines for machine learning, data engineers enable organisations to extract meaningful insights from vast datasets. With companies across every sector looking to harness data for competitive advantage, mid‑senior data engineers are in especially high demand—and that spells opportunity for you to negotiate a compelling compensation package. Yet for many professionals, negotiations around a job offer still focus primarily on salary, leading them to overlook valuable components such as equity, performance bonuses, and perks that can collectively add significant value to your overall deal. In the world of data engineering, it’s not uncommon to see advanced compensation packages involving shares, annual or quarterly bonuses, and a range of benefits that support both your technical growth and work-life balance. This guide aims to be your comprehensive manual for negotiating a data engineering job offer in the UK. We’ll cover why negotiation isn’t just about your monthly paycheck, explore how equity works in data-centric organisations, break down different bonus structures, and highlight perks that matter most for mid‑senior professionals. By the end, you’ll have the knowledge—and the confidence—to land a package that fully reflects your critical role in unlocking the power of data.
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.
