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Mid-senior Platform Data Engineer at an IT services and consulting company in Amsterdam. Day to day, the role involves building and running data platform infrastructure on cloud platforms (Azure, AWS or GCP), working with lakehouse architectures, and using infrastructure as code. Full-time position.
Data Engineer at Lakehouse Partners (Netherlands) building and optimizing data pipelines on Databricks and cloud-based data architectures, managing storage and orchestration, and driving cost and performance improvements across multiple client engagements. Remote/home-office options and a training budget including Databricks Academy are offered.
Designs and maintains cloud-based lakehouse architectures and infrastructure-as-code pipelines for clients using Azure, AWS, or GCP.
Build and optimize cloud-based data pipelines using Databricks and related tools, managing storage and orchestration for multiple clients.
Build and maintain cloud-based data platforms using Azure/AWS/GCP and infrastructure-as-code for clients in IT services.
Build and optimize Databricks-based data pipelines on Azure, AWS or GCP, translating client needs into scalable lakehouse architectures while staying current with the latest Databricks features.
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