About this role
Werken bij YoungCapital -
- Jouw profiel Fulltime Data & Analytics Engineer in Amsterdam (English) Apply directly Nieuw!
Solliciteer als één van de eersten 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...