Data Engineering Manager: Azure-led Data Platform Leader
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Job summary
Adaptfy, a data & analytics partner, seeks a Data Engineering Manager in Amsterdam with 5-8 years of experience to lead the data and analytics team. You will drive end-to-end data platforms, ETL pipelines, and data governance, while working with Azure, Spark, Python, and APIs to deliver scalable insights for clients across diverse industries.
You will mentor engineers, collaborate with stakeholders, and shape the technical roadmap, balancing delivery speed with robust architecture and data
Qualifications
- 5-8 years of experience in data engineering/lead roles.
- Strong expertise in Azure data services and ETL/ELT design.
- Solid data warehousing knowledge (ODS, data marts, data lakes).
- Experience building production data pipelines at scale and governance.
Responsibilities
- Lead the technical roadmap for client data platforms and analytics products.
- Architect data pipelines and ensure integration across systems.
- Oversee development using Python, Spark, REST APIs, and Azure.
- Coach team members and align delivery with stakeholder needs.
- Deliver data lakes, dashboards, and data insights with the data science team.
- Collaborate with project teams to evaluate business needs and objectives.
Skills
Education
Tools
Job description
Adaptfy, a data & analytics partner, seeks a Data Engineering Manager in Amsterdam with 5-8 years of experience to lead the data and analytics team. You will drive end-to-end data platforms, ETL pipelines, and data governance, while working with Azure, Spark, Python, and APIs to deliver scalable insights for clients across diverse industries.
You will mentor engineers, collaborate with stakeholders, and shape the technical roadmap, balancing delivery speed with robust architecture and data
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