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Data Engineer

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Belfast
1 week ago
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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job description Data Engineer Location: Belfast - Remote Eligibility: UK work authorisation required (no sponsorship available) We're looking for a Data Engineer who wants to help shape, grow, and modernise a data engineering function from the ground up. This is an opportunity to design and build data capabilities that directly influence business growth and unlock meaningful insights across the organisation. You'll join a curious, outcome-driven team that values autonomy, creativity, and practical problem-solving. If you enjoy working in small, empowered teams and want room to experiment, iterate, and master your craft - this is the place to do it. Why join? * Small teams, big impact - Clear goals, support when needed, and freedom to deliver without unnecessary blockers * Room to grow - A culture that encourages experimentation, learning, and continuous improvement * Solving real problems - Build data solutions that directly support the needs of customers and internal stakeholders * Modern environment - Work with cloud-native tools, automation, and best-in-class engineering practices What you'll be doing: * Designing and maintaining scalable, cloud-native data pipelines and workflows (ETL/ELT) * Modelling and transforming data from diverse sources to support analytics, reporting, and decision-making * Improving data quality, performance, and reliability across the data ecosystem * Troubleshooting pipeline issues, resolving discrepancies, and participating in on-call support when needed * Prototyping analytical tools and automation to enhance operational efficiency * Collaborating with BI, Finance, and cross-functional teams to deliver reliable, high-performing data solutions * Maintaining documentation across configurations, test scripts, and specifications * Contributing to agile ways of working and continuous engineering improvements What you'll bring: * Bachelor's degree in computer science or a similar technical field * Experience working with SQL (Oracle, PostgreSQL, etc.), Java and ingestion tools * Experience interacting with SOAP/REST APIs * Familiarity with cloud data warehouses or ELT tools (Snowflake, Redshift, DBT) - nice to have * Experience working in Agile teams * Knowledge of version control and automation * Understanding of cloud storage concepts Interested? Reach out to Justin Donaldson for more details or to apply directly. Skills: SQL Java ETL ELT Cloud Airflow Automation Benefits: Work From Home

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Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.