Manager, Data Engineering

In this role, you will contribute to a config-driven data engineering platform that standardises ingestion, transformation, and delivery of paid media data across 26+ ad platforms. You will help build and maintain scalable ELT pipelines from Cloud Function ingestion to dbt-powered transformations in BigQuery, partnering with analysts and BI teams. The role offers opportunities to shape a mature data platform within a high-profile team and drive engineering best practices. You’ll work hands-on to extend platform coverage and ensure data integrity and scalability.

• Contribute to end-to-end data pipelines from Cloud Function ingestion to dbt transformations and analysis-ready BigQuery tables
• Develop and maintain dbt models, macros, and Jinja templates within a macro-first framework for 26+ ad platforms
• Add platform integrations using YAML definitions and Python ingestion functions
• Contribute to Python CLI tooling for client onboarding, config compilation, and pipeline execution
• Maintain GCP infrastructure (BigQuery, Cloud Run, Cloud Functions, Cloud Scheduler) with senior guidance
• Write and maintain tests (pytest, dbt tests) and support CI/CD pipelines (Cloud Build)
• Collaborate with analysts and BI teams to ensure data models meet reporting needs
• Participate in code reviews and contribute to documentation (MkDocs)

• dbt: writing models, Jinja basics, tests and seeds
• Python: scripting, Pandas, reading existing codebases
• SQL: complex queries, joins, aggregations, window functions
• Experience with at least one cloud platform (GCP preferred; AWS or Azure relevant)
• Git basics and CI/CD concepts (branching, PRs)
• Familiarity with data modelling concepts (tables, views, star schema)

• eagerness to learn
• curiosity
• attention to detail
• dbt macros, Jinja templating, incremental models, or packages
• Google Cloud Platform services - BigQuery, Cloud Functions, Cloud Storage, Cloud Run
• Docker and containerised workloads