VP Data Engineering

Team Leadership:

• Lead, mentor, and grow a team of data engineers, building a culture of ownership, craft, and continuous improvement
• Own hiring, onboarding, and performance management for the data engineering function
• Act as a technical role model — setting high standards while remaining approachable and supportive

Data Platform & Infrastructure:

• Own the architecture, reliability, and evolution of our GCP data platform — including BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, and GCS
• Design and maintain robust, scalable pipelines for ingesting, transforming, and serving diverse alternative datasets (web, CPG, transaction data, etc.)
• Drive infrastructure best practices: cost optimisation, observability, incident response, and disaster recovery

Strategic & Cross-functional:

• Translate business priorities and client requirements into a clear, deliverable technical roadmap
• Partner with data operations, data science, and product teams to accelerate dataset onboarding and expand platform capabilities
• Represent data engineering at the leadership level — contributing to company strategy and advocating for data quality as a core business value