Head of Data Engineering

Are you a data leader who loves building high-performing teams and scalable platforms? I'm hiring for a Head of Data Engineering at a rapidly growing InsurTech company that's transforming how motor insurance works-making it simpler, fairer, and more personalised.

This is a hands-on leadership role where you'll set the strategy, guide architecture, and empower a talented data engineering team to deliver world-class data systems in a fast-paced, product-led environment.

• Competitive salary + company share options

• Hybrid working - 1 day a week in a central London office

• High-growth scale-up with a strong mission and serious funding

• Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark

• Work cross-functionally with engineering, product, analytics, and data science leaders

• Lead, mentor, and grow a high-impact team of data engineers

• Define and deliver the data engineering roadmap aligned with business goals

• Own the architecture, reliability, and scalability of the data platform end-to-end

• Drive best practices in ETL/ELT pipelines, data modelling, and real-time processing

• Partner with stakeholders to ensure data solutions are fit for purpose and future-proof

• Introduce and champion modern engineering practices (testing, CI/CD, IaC)

• Identify opportunities for tooling upgrades, re-architecture, or innovation

• 2+ years leading data engineering teams as a Manager or Technical Lead

• 5+ years designing and operating scalable data platforms in fast-paced settings

• Deep expertise with data pipelines, warehouses, and architectures

• Hands-on experience with Python, SQL, and cloud-native tools (AWS preferred)

• Proven ability to influence stakeholders and translate technical ideas into business impact

• Passion for developing talent and fostering a culture of learning and ownership

• Experience with Data Mesh or Data Lake architectures

• Familiarity with Kubernetes, Docker, and real-time streaming (Kafka, Kinesis)

• Exposure to ML engineering pipelines or MLOps

Interested? If you're ready to lead a team at the forefront of data innovation in a mission-driven scale-up, apply today or reach out for a confidential chat.