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

Apply Now

Senior Data Engineer - Burton upon Trent

Burton upon Trent
4 days ago
Create job alert

Senior Data Engineer - Burton on Trent

£64-67k

x1 day per week on-site

(Sponsorship is not provided for this opportunity)

As a Senior Data Engineer, you will lead the development and optimisation of our customers Azure-based data platform, ensuring efficient, secure, and high-performing data services. You'll design scalable pipelines and data models, champion data governance and best practices, and drive continuous improvement to enhance data quality and accessibility across the business.

Key Responsibilities

Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services.
Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage).
Governance & Security: Enforce compliance and data protection standards (GDPR, DPA) through robust security and governance practices.
Automation: Implement CI/CD pipelines and Infrastructure as Code (Terraform, Bicep, ARM) via Azure DevOps.
Performance & Monitoring: Optimise data systems for cost, performance, and reliability; proactively resolve platform issues.
Collaboration: Work closely with analysts and data scientists, mentoring junior engineers and promoting best practices.
Innovation: Explore new Azure technologies to enhance platform capabilities and analytics.
Documentation: Maintain clear technical documentation and share knowledge across teams.

Skills & Experience

Expert in Azure Databricks (Unity Catalog, DLT, cluster management).
Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs.
Proficient in Python, Scala, C#, .NET, and SQL (T-SQL).
Skilled in data modelling, quality, and metadata management.
Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform.
Strong analytical, communication, and stakeholder engagement skills.
Exposure to machine learning engineering is desirable.

Interested? Please submit your updated CV to (url removed) for consideration.

Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!

Crimson is acting as an employment agency regarding this vacancy

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 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.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.