Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer - Azure | Permanent | Hybrid

Havant
4 days ago
Create job alert

Senior Data Engineer - Azure | Permanent | Hybrid

Are you a data enthusiast with a passion for building scalable, high-performing solutions? We're looking for a Senior Data Engineer to join a forward-thinking organisation that's committed to innovation, sustainability, and creating an inclusive workplace.

This is your chance to work on cutting-edge Azure cloud architecture, optimise data pipelines, and mentor a talented team-all while enjoying a culture that values flexibility, growth, and collaboration.

What's in it for you?

Competitive salary + excellent benefits
Hybrid working (office in Hampshire)
25 days holiday + bank holidays
Discounts, wellbeing perks, and learning opportunities
A company recognised as one of the UK's best places to work

What you'll be doing

Designing and optimising Azure-based data models and pipelines
Leading ETL processes and integrating new data sources
Enhancing SSAS architecture and supporting Power BI reporting
Collaborating with stakeholders to deliver actionable insights
Mentoring junior engineers and driving best practices

What we're looking for

Strong experience with Azure Data Factory, LogicApps, SSAS
Advanced T-SQL and Python skills
Knowledge of BI tools (Power BI) and data modelling
Ability to troubleshoot, innovate, and communicate technical concepts clearly

If you're ready to take ownership of data architecture and make a real impact, apply today

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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.