Data Engineer (Google Cloud & Digital Analytics)
FreelanceHybridIn English
About the job
Riverflex is looking for a Data Engineer to own and evolve a central data platform on Google Cloud. In this hybrid role based in Amsterdam, you will design data models, build pipelines, and integrate digital analytics data.
What you will do
- Design, build and maintain data models in BigQuery and dbt
- Own and evolve data engineering architecture on Google Cloud Platform
- Build and optimise ingestion and transformation pipelines with orchestration and CI/CD
- Integrate and model digital analytics data from Google Analytics 4, tag management, campaign and customer data
- Support deployment and operation of machine learning models
- Set engineering standards and mentor colleagues
What you bring
- Substantial commercial experience as a data engineer owning a production data platform
- Deep hands-on experience with Google Cloud Platform and BigQuery
- Strong data modelling skills with dbt
- Confident with Python and advanced SQL
- Experience with workflow orchestration (Airflow, Cloud Composer or equivalent) and modern engineering practice
- Practical experience with digital analytics data, especially Google Analytics 4 and Google Tag Manager
Nice to have
- Experience deploying and operating machine learning models in production (MLOps)
- Background in retail, e-commerce or another consumer-facing sector
- Experience mentoring or leading other engineers
- Fluency in Dutch
What you get
- Full technical ownership of a central data platform
- Autonomy to shape the platform's future
- Modern tech stack
- Varied work including warehouse modelling and model production
Summary by Personeel.com. The full job description and the application form are on Riverflex's website (riverflex.recruitee.com); Apply takes you straight there.
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