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Head of Engineering - Data Products

London - 10 Triton Street💼 Full-time🗓 2026-09-02 → 2026-09-25

Core

Lead a multi-disciplinary engineering organization to own the technical roadmap for enterprise-scale data and AI infrastructure, acting as a bridge between solution design and commercial accountability.

Role type

Senior IC Head of Engineering (Data Products & Infrastructure)

Builds

Enterprise data platforms, cloud architectures, and AI/ML integration solutions for global clients.

Domain

Enterprise Data & AI Infrastructure

Deliverable

production ML models | infrastructure | product features

Required skills

Cloud data platform leadership, dimensional data modelling, ETL/ELT design, cloud cost management (FinOps), vendor contract negotiation, platform security governance, microservice architecture, CI/CD implementation.

Preferred skills

AI/ML and agentic systems integration, containerized deployments (Docker/Kubernetes), workflow orchestration (Airflow/n8n), event-driven architecture (Kafka), GraphQL APIs, C4 model documentation.

Technologies

Azure Databricks/Spark, Snowflake, Azure Data Lake, PowerBI/Tableau, Python, JavaScript, AWS, GCP, Kubernetes, Apache Airflow, Kafka, Istio, Okta/Entra ID.

Responsibilities

Set and own the technical roadmap for the data platform; lead, grow, and mentor a multi-disciplinary engineering organization; establish governance frameworks for applications and data products; manage vendor relationships and commercial contracts; drive FinOps practices to optimize cloud spend; lead platform modernization and migration programs.

Seniority

Senior, hands-on IC with people leadership

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