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This is an exciting opportunity for a Senior Data Engineer to contribute to impactful projects within the Business Services industry. Based in Manchester, this role focuses on designing, building, and optimising data pipelines and systems to support analytics and decision-making. Client Details We are a client acquisition agency with a focus on the legal sector, founded on the core values...
Data Engineer I am working with a leading, AI driven organisation that supports its clients' marketing campaigns, expanding its data engineering capabilities and looking for a Data Engineer to join their team. This is a fantastic opportunity to join an award-winning tech business where you will have the opportunity to work at the forefront of data architecture, building distributed systems...
Data Engineer - Award-Winning AI SaaS platform We're partnered with a pioneering SaaS company that's transforming their industry through cutting-edge AI and data technology. With a multi-award-winning platform and a client base that includes global household names, this is a rare opportunity to join a high-growth tech business that blends startup agility with enterprise stability. We're looking for a passionate...
Data Engineer - Award-Winning AI SaaS platform We're partnered with a pioneering SaaS company that's transforming their industry through cutting-edge AI and data technology. With a multi-award-winning platform and a client base that includes global household names, this is a rare opportunity to join a high-growth tech business that blends startup agility with enterprise stability. We're looking for a passionate...
Are you ready to make a real impact as the first Data Analyst in a well-established organisation? We're recruiting on behalf of a respected business who are on a journey to become truly data-driven. This is a unique opportunity to shape their data strategy from the ground up, reporting directly to the Data Lead. Whilst they're based in Corby (Northamptonshire),...
Are you ready to make a real impact as the first Data Analyst in a well-established organisation? We're recruiting on behalf of a respected business who are on a journey to become truly data-driven. This is a unique opportunity to shape their data strategy from the ground up, reporting directly to the Data Lead. Whilst they're based in Corby (Northamptonshire),...
Advance your Data Engineering career with expert advice, practical job search tips, and insightful industry guides.
Data engineering has rapidly become one of the most critical disciplines in technology. Every business, from financial services to healthcare to e-commerce, relies on robust data pipelines to move, transform, and store information efficiently. Without skilled data engineers, the modern data-driven economy would grind to a halt. The challenge for job seekers? Employers don’t just want to see academic credentials. They want hands-on evidence that you can build and manage data workflows, integrate sources, optimise performance, and deploy solutions at scale. Fortunately, you don’t need expensive software licences or premium courses to gain practical experience. A wealth of free tools and platforms allow you to practise and master the essential skills of a data engineer. In this vlog-style guide, we’ll cover the best free resources you can use in 2025 to build portfolio-ready projects and boost your job prospects.
Data engineering is the backbone of modern analytics, AI, and business intelligence. Across the UK—from finance and health to e-commerce and public sector—organisations are investing heavily in platforms that ingest, process, and store vast amounts of data. Demand for professionals who can build robust, scalable, and reliable data pipelines has never been higher. But what skills do employers really want? By analysing job postings on LinkedIn and Indeed, this article highlights the Top 10 data engineering skills that UK organisations are looking for in 2025. You’ll learn how to surface these skills in your CV, demonstrate them in interviews, and build proof-of-work through a compelling portfolio.
Data engineering has quietly become one of the most crucial roles in modern technology. While data science and artificial intelligence often attract the headlines, it is data engineering that provides the foundation. By building pipelines, managing databases, and ensuring data quality, data engineers make it possible for organisations to analyse, innovate, and grow. In the UK, data engineering is booming. Banks rely on engineers to process financial transactions in real time. Retailers depend on them to analyse customer behaviour. Healthcare providers use engineered data to fuel predictive analytics in the NHS. Demand is so strong that data engineering has become one of the fastest-growing roles in the tech sector, with salaries reflecting its importance. But the story doesn’t stop here. As AI, quantum computing, edge intelligence, sustainability, and regulation reshape how we manage information, the role of data engineers will evolve dramatically. Many of the most important data engineering jobs of the next two decades don’t exist yet. This article explores why new roles are coming, what they might look like, how current jobs will change, why the UK is positioned to lead, and how professionals can prepare.
The UK's data engineering sector has evolved into one of Europe's most dynamic and rewarding technology markets, with roles spanning from ETL developers to platform architects and machine learning engineers. With data engineering positions commanding salaries from £32,000 for junior data engineers to £130,000+ for senior principal engineers, understanding when organisations actively recruit can significantly accelerate your career progression in this rapidly expanding field. Unlike traditional software development roles, data engineering hiring follows distinct patterns influenced by business intelligence cycles, data modernisation initiatives, and analytics platform deployments. The sector's unique combination of technical complexity, business impact requirements, and emerging technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in building tomorrow's data infrastructure. This comprehensive guide explores the optimal timing for data engineering job applications in the UK, examining how enterprise data strategies, regulatory reporting cycles, and technology modernisation programmes influence recruitment patterns, and why strategic timing can determine whether you join a scaling data consultancy or miss the opportunity to architect the next generation of data platforms.
The data engineering sector in the UK has become the foundation of modern data-driven organisations, with professionals designing and maintaining the critical infrastructure that enables artificial intelligence, machine learning, and business intelligence capabilities. As companies increasingly recognise data as their most valuable asset, employers are implementing comprehensive pre-employment screening processes to ensure they recruit professionals capable of managing complex data pipelines whilst maintaining the highest standards of data governance, security, and regulatory compliance. Whether you're a data platform engineer, ETL developer, data warehouse architect, or big data specialist, understanding the extensive vetting requirements is essential for successfully advancing your career in this data-critical field. This comprehensive guide explores the various background checks and screening processes you'll encounter when applying for data engineering positions in the UK, from fundamental eligibility verification to specialised data protection compliance and technical competency assessments.
The United Kingdom is experiencing a data revolution that's fundamentally transforming how businesses operate, innovate, and compete in the global economy. From the AI initiatives driving London's fintech sector to the smart city projects reshaping Manchester and Birmingham, Britain's insatiable appetite for data-driven insights has created an unprecedented demand for skilled data engineers that far exceeds the available talent pool. If you've been considering a career transition or seeking to position yourself at the forefront of the digital economy, data engineering represents one of the most lucrative, future-proof, and intellectually rewarding career paths available today. The convergence of big data explosion, AI adoption, cloud transformation, and regulatory compliance has created perfect conditions for data engineering career success.
