Data & Analytics Engineer

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Fulltime Data &

• Analytics Engineer in Amsterdam (English)

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Fulltime Data &

• Analytics Engineer in Amsterdam (English)

Start as a full-time Data &

• Analytics Engineer in Amsterdam. Build scalable pipelines, ensure data quality, and work with dbt, Python, and GCP.

Dit kan al binnen twee minuten

32 - 40 uur per week

What are you going to do:

We are seeking a Senior Consultant at the intersection of Data Engineering, Analytics Engineering, and Data Stewardship for a leading global retail enterprise. In this role, you will play a central part in building and scaling Customer Domain Data Products across the international organization.

You will help build robust data pipelines, establish automated data quality standards, implement governance and metadata frameworks, and ensure customer data across the company is reliable, well-documented, and readily discoverable.

While the ideal candidate brings a blend of data engineering and data stewardship, applications are also very welcome from strong specialists in one area who have solid fundamentals in the other. Scope &

Key Responsibilities - Pipeline Development &

• Maintenance: Build, optimize, and maintain scalable ingestion and transformation pipelines using SQL, Python, and dbt , while supporting ad-hoc analytics needs.
• Data Quality &
• Reliability: Define and maintain data quality rules, automated tests, and monitoring dashboards (e.g., using dbt / Elementary ). Lead root-cause analyses for data anomalies and follow up on corrective actions.
• Data Stewardship &
• Governance: Maintain business definitions, harmonization rules, metadata, and cataloguing across datasets. Review data models, data contracts, and schema mappings to ensure alignment with governance standards.
• Stakeholder Enablement &
• Reporting: Translate business requirements into trusted data products; present produ...