Senior Data Engineer

We’re looking for a Senior Data Engineer who pairs solid engineering fundamentals with an analytical mindset. You’ll build reliable data foundations, enable high-quality reporting and self-serve analytics, and help us take our Power BI capability to the next level. We care more about attitude, work ethic, and proven delivery than formal qualifications.

What you’ll do:

• Design, build, and maintain scalable data pipelines and ELT/ETL processes across telematics, ERP, IoT, CRM, and finance systems.
• Model and deliver robust data products (lakehouse/warehouse, marts, semantic models) that power BI, analytics, and data science.
• Lead our use of Microsoft Fabric for ingestion, transformation, and analytics, including Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows Gen2, and OneLake.
• Build and optimise Power BI datasets and semantic models (including Direct Lake and incremental refresh) in partnership with analysts.
• Implement data governance, quality, lineage, and security-by-design; drive documentation, testing, and version control standards.
• Tune performance across SQL, storage, and BI layers; manage cost and reliability in the cloud (Azure preferred).
• Enable streaming and near-real-time use cases where needed (e.g., telematics/IoT) using appropriate services.
• Champion modern DataOps practices (CI/CD, environment management, automation) and mentor junior team members.
• Collaborate closely with stakeholders to translate business needs into well-designed data solutions and clear metrics.

What you’ll bring (essential):

• Proven experience (5+ years) as a data engineer delivering production-grade data solutions.
• Strong SQL and proficiency in at least one programming language (Python preferred; Scala/Java also valuable).
• Hands-on experience building and operating ETL/ELT pipelines and data models (Kimball, Data Vault, or similar).
• Cloud data experience (Azure preferred), including storage, compute, and security fundamentals.
• Practical Power BI experience as a data engineer: shaping data models, optimising for performance, and collaborating with analysts.
• Solid grasp of data governance, privacy, and security best practices; comfortable with Git and documentation.
• Bias to action, ownership, and continuous improvement; capable of balancing speed with quality.

Nice to have:

• Microsoft Fabric: creating and managing a Fabric Warehouse or Lakehouse (and underlying “database” objects), building Pipelines/Notebooks, using OneLake, and enabling Direct Lake for Power BI.
• Experience with telematics, IoT, logistics, or construction data.
• Streaming platforms and APIs (e.g., Kafka, Event Hubs) and batch orchestration.
• DataOps/CI-CD for data (Azure DevOps/GitHub Actions), dbt, unit/integration testing for data.
• DAX fundamentals and Power BI performance tuning at scale.
• Formal qualifications or certifications (e.g., Azure DP-203, Microsoft Fabric Analytics Engineer) are welcome but not required.

What success looks like in 6–12 months:

• Reliable, well-documented pipelines feeding a governed lakehouse/warehouse.
• Faster, more trusted Power BI reporting backed by high-quality semantic models.
• Clear data standards adopted across the team, with CI/CD and automated testing in place.
• Demonstrable cost, performance, and data quality improvements on key domains (e.g., telematics, operations, finance).

Benefits:

• Competitive salary and package.
• 24 days plus bank holiday annual leave, plus personal leave.
• Training and professional development tailored to you.
• Employee Assistance Programme.
• Strong safety and sustainability culture.
• Modern equipment and supportive, team-oriented environment.
• Recognition programmes for outstanding performance.

If you’re a hands-on engineer who loves building practical, scalable data solutions and wants to grow an organisation’s Power BI and Microsoft Fabric capability, we’d like to hear from you.