Data Engineer (Google Cloud & Digital Analytics)

Data platform and pipelines

• You own and extend the data architecture on Google Cloud, with BigQuery at its centre.

• You build and maintain transformation models in dbt.

• You design, run and monitor orchestrated pipelines in Airflow.

• You write production Python for ingestion, transformation and automation.

Digital and marketing analytics

• You own the GA4 implementation and its BigQuery export, turning raw event data into models the business can use.

• You manage Google Tag Manager, including tagging strategy, data layer design and governance.

• You work directly with marketing and digital teams to translate their questions into data they can act on.

Machine learning

• You deploy, monitor and maintain machine learning models in production.

• You build the pipelines and infrastructure that keep those models fed and running.

Enablement

• You mentor others in the team, raising the standard of engineering practice around you.

• You document what you build, so the platform does not depend on one person.

• Strong commercial experience as a data engineer on Google Cloud Platform, with deep BigQuery knowledge.

• Hands-on expertise in dbt for data modelling and transformation.

• Production experience with Airflow or an equivalent orchestrator.

• Strong Python for data engineering.

• Practical GA4 experience, including working with the raw BigQuery export.

• Working knowledge of Google Tag Manager and digital analytics implementation.

• MLOps experience: deploying and maintaining models in production, not only building them.

• A track record of mentoring or coaching other engineers.

• Comfortable working directly with non-technical marketing and commercial stakeholders.

• Available from December 2026, with the right to work in the EU.

The following are a plus:

• Experience in retail, e-commerce or consumer brands.

• Exposure to consent management and privacy-compliant tracking.

• Dutch language skills.