Lead Data Engineer (Azure)

This is a hands-on leadership role, ideal for someone who enjoys remaining close to the technology while guiding a small team and influencing platform architecture. You'll have real ownership, the chance to set standards, and the opportunity to build a modern data platform that supports both internal teams and customer-facing use cases.

• Leading, mentoring, and developing a small team of data engineers and analysts, setting technical direction and best practices
• Owning the end-to-end data lifecycle, from ingestion through to analytics delivery
• Building and operating robust data pipelines using Databricks, Spark, and Delta Lake
• Working closely with product, engineering, and other stakeholders to deliver the data roadmap
• Creating trusted datasets, dashboards, and APIs for internal and external customers
• Improving data quality, reliability, governance, and observability across the platform
• Supporting and enhancing CI/CD pipelines, automated testing, and cloud operations to ensure scalability and resilience

• Experience leading or mentoring data engineers in a SaaS or product-led environment
• Strong hands-on experience with Databricks, including Spark and Delta Lake
• Advanced Python and SQL skills for data engineering and analytics use cases
• Solid experience working with a major cloud platform, with Azure strongly preferred
• Strong communication skills and the ability to collaborate effectively across teams

Nice to have

• Experience with data orchestration tools such as Airflow or Dagster
• Familiarity with Infrastructure as Code tools (e.g. Terraform)
• Exposure to BI and data visualisation tools such as Power BI or Tableau

Competitive salary + 10% Bonus.