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About this job
Key facts
Data Engineer Omnichannel
Temporary
No
Amsterdam, North Holland, Netherlands
Negotiable €
Data Engineer (Customer Data Products)
Location
Background
Scope of the Assignment
Responsibilities
- Building, improving, and maintaining ingestion and transformation pipelines in SQL and Python (BigQuery, dbt, Databricks), including ad hoc analytics
- Managing, reviewing, and improving processes from coding to infrastructure
- Creating and implementing data engineering standards from ingestion to transformation, data quality, and data contracts
- Reviewing data models, data contracts, and data mappings for alignment with governance standards
- Presenting data products, data quality and governance standards, and insights to stakeholders
- Collaborating closely with Product, Software Engineering, and Data teams to improve data engineering practices, promote data product principles, and resolve data-related challenges
Requirements
Technical & Analytical Skills
- Strong data engineering fundamentals including:
- dbt
- Python
- Production-grade cloud development (GCP preferred)
- CI/CD
- Infrastructure as Code (IaC)
- Containerization
- Hands-on experience with:
- BigQuery
- Databricks / PySpark
- Experience with both is strongly preferred
- Ability to improve coding, reviewing, and testing practices through smart use of AI
- Basic data visualization skills (Data Studio preferred, Power BI is a plus)
- Experience with data quality frameworks, testing, and monitoring
- Strong understanding of:
- Data models
- Databases
- Data warehousing
- Data flows across systems
- Experience with customer data (profiles, purchases, interactions) is a strong plus
- Experience with customer classifications and unified customer profiles is a strong plus
- Knowledge of data governance, metadata management, and data cataloguing is a plus
Communication & Interpersonal Skills
- Proactive mindset and ability to thrive in uncertainty
- Strong stakeholder management and collaboration skills
- Ability to identify and resolve data issues through cross-functional collaboration
- Ability to translate business requirements into data products, governance standards, and quality rules
Top 3 Requirements
- Strong data engineering fundamentals (dbt, Python, GCP, CI/CD, IaC, Containerization)
- Hands-on experience with BigQuery and/or Databricks/PySpark
- Proactive attitude and ability to work effectively in ambiguous environments
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Important: job fraud
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