Director of Data Engineering

In this leadership role, you own and shape the organisation’s data architecture and platform, partnering with senior leaders to translate data into commercial value. You drive a scalable cloud data platform and establish DataOps, governance, quality, and observability to support analytics, forecasting, and emerging AI/ML capabilities. You lead a high-performing data engineering function and own budgets and vendor relationships. The role offers influence across cross-functional teams to advance the company’s data and AI roadmap in a hybrid Central London setting.

• Define and own enterprise data architecture and technical roadmap
• Lead development of a scalable modern cloud data platform
• Own data modelling, architecture, governance, quality and operational resilience
• Build data foundations to support AI, ML, vector search and advanced analytics
• Establish DataOps, CI/CD, observability and data quality practices
• Lead and develop the data engineering function
• Partner with Product, Engineering, Data Science and senior leadership to turn data into commercial value
• Own budgets, vendors and cloud cost optimisation

• 12+ years of data engineering experience with substantial leadership experience
• Strong experience across cloud data architecture, Snowflake/Databricks/BigQuery, SQL, Python, data modelling and modern data engineering practices
• Experience in AI/ML, knowledge graphs, unstructured data, SaaS or customer-facing data products (advantageous)
• Technically credible leader who can set strategy, challenge architecture, lead teams and engage with detail

• strategic vision
• strong communication with cross-functional partners
• people leadership and team development
• cloud data architecture
• Snowflake
• Databricks