Senior Data Engineer

🧑 💻 Hybrid: 3 days office / 2 days home - fortnightly travel to Scotland (can be expensed)

Join a long-established, highly respected family-run business on a major data transformation journey. These are true Greenfield roles
, giving you the platform to shape architecture, define standards, and build modern, scalable Data Engineering foundations from day one.

If you’re passionate about using data to unlock business value, drive growth, and leverage cutting‑edge Azure & Databricks investments
, this is your opportunity to make a huge impact.

You’ll play a hands‑on, strategic role building a modern cloud‑native data platform:

• Deliver clean, robust Bronze/Silver/Gold layers using Delta Lake
• Create data warehouse assets (star schemas, data marts) using Synapse / Databricks SQL
• Implement scalable orchestration with ADF or Synapse Pipelines
  , including SLAs & alerting
• Drive performance & cost optimisation across compute & storage
• Establish CI/CD best practices with Azure Dev Ops
• Champion security, governance & quality throughout the data lifecycle
• Introduce & evolve streaming where appropriate
• Mentor engineers, shape architecture, and influence the roadmap
• Collaborate closely with BI/Analytics to ensure seamless delivery into Power BI models

Languages: Python, SQL

Future‑facing: Microsoft Fabric

• 5+ years in Data Engineering with Azure + Databricks at scale
• Experience running production pipelines in Delta Lake
• CI/CD for data workloads
• Strong communicator able to bridge technical and business needs

• Mentoring experience
• Power BI Experience
• Microsoft Fabric

Be part of a stable, values‑led, credible organisation investing heavily in data. You’ll gain autonomy, make visible impact quickly, and help design the blueprint for a truly data‑driven future.

CVs are being reviewed as a priority — apply now and shape the future of data for a business that genuinely values its people.