Head of Data Engineering

The Head of Data Engineering position centres on partnering with other data leaders to deliver business-aligned solutions. It would suit someone who can bring technical problem-solving, documentation, and careful delivery to the role.

Role overview

Overseeing ingestion of high-volume signal data and integrating external data sources. Driving adoption of modern engineering practices—CI/CD, testing, infrastructure-as-code, and data governance.

Main responsibilities

Partnering with other data leaders to deliver business-aligned solutions. As Head of Data Engineering, you will lead the strategic direction, architecture, and delivery of a modern, scalable data platform. Oversee the ingestion, transformation, and processing of large-scale datasets, enabling high-performance analytics, real-time insights, and advanced ML use cases.

What helps someone succeed

careful practical judgement. Designing and evolving a scalable, reliable data platform using AWS, Snowflake, Apache Spark, Airflow, dbt, Python, and SQL. Strong professional approach.

Requirements

• 5+ years as a Data Engineer and 2+ years in a technical leadership or management role.
• Proven experience designing scalable data architectures and building robust pipelines.
• Track record of delivering in fast-paced, product-led environments (start-up/scale-up experience preferred).

Job details

• 1 day per week Onsite in central London (Bank/Monument).
• Generous holiday allowance and pension scheme.
• Opportunity to shape the data strategy and platform of a scaling, data-led business.
• Share options in a high-growth business.