Head of Data Engineering (Hands-On)
New Today
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Are you a data leader ready to shape the future of a modern data platform? We’re working with a fast-growing, well-funded scale-up that’s transforming the insurance industry, and they’re looking for a Head of Data Engineering to lead and grow their high-impact team.
This is a hands-on leadership role, perfect for someone who combines deep technical expertise with the ability to inspire and develop a talented data engineering team.
Why this role?
- Own and evolve the end-to-end data architecture, ensuring scalability, resilience, and data privacy.
- Lead and mentor a growing team of Data Engineers, embedding best practices and fostering innovation.
- Collaborate with leaders in Engineering, Data Science, Analytics, and Product to shape the company’s data strategy.
- Hybrid model: 1+ day a week in central London, with flexibility the rest of the time.
- Join a business with £200m+ funding, tens of millions of customers, and ambitious growth plans.
What you’ll be doing:
- Defining and executing the data engineering roadmap.
- Building and optimising ETL/ELT pipelines, data models, and real-time frameworks.
- Driving adoption of DevOps, CI/CD, and Infrastructure-as-Code for data workflows.
- Leading on platform innovation, re-architecture, and adoption of emerging tools.
- Partnering with stakeholders to ensure the data platform supports analytics, ML, and business intelligence needs.
- Balancing technical excellence with pragmatic delivery to meet business goals.
What we’re looking for:
- 5+ years’ experience as a Data Engineer, with proven ability to design and operate scalable data platforms.
- 2+ years’ experience leading teams as a Technical Lead or Data Engineering Manager.
- Strong expertise with modern stacks — Python, SQL, Snowflake, Spark, Airflow, dbt, AWS (S3, Terraform, Docker).
- Deep knowledge of data architecture, pipelines, governance, and observability.
- Excellent communicator with strong stakeholder engagement skills.
- Bonus: Experience with Data Mesh, Kubernetes, or real-time streaming (Kafka, Kinesis).
Benefits:
- Salary up to £130,000.
- Private medical insurance, company share options, and generous holiday allowance.
- Hybrid working (1+ day per week in London).
- Flexible working contribution (for travel or personal development).
- Wellbeing benefits and career development support.
- The chance to lead a team and platform with direct business impact.
- Location:
- England, United Kingdom
- Salary:
- £125,000 - £150,000
- Job Type:
- FullTime
- Category:
- Engineering