Team EIFFEL zoekt een data-analist met ambitie om door te groeien naar Data Engineer. Je werkt aan stabiele datapipelines, ETL-processen en een Azure-gedreven dataplatform met Data & Analytics als focus.
Je bouwt datasets voor rapportages, leeft mee met testen en monitoring en koppelt data aan stakeholders. Het programma duurt 1,5 jaar, waarna je bij de opdrachtgever in dienst treedt.
Designs and implements CI/CD pipelines, automates infrastructure, and advises clients on DevOps strategies using Docker, Kubernetes, Azure, and scripting in Python or Bash.
Senior Azure Data Engineer in Amsterdam responsible for designing scalable data architectures, building reliable ETL workflows, and managing data pipelines using Azure Data Factory, Python, and SQL.
Designs and builds scalable Azure-based ETL/ELT pipelines using Data Factory, Databricks, and Python to process and optimize large-scale data workflows.
Design and build scalable cloud data pipelines using Azure and AWS to enable data-driven insights and process optimization.
Design, develop, and operate scalable Azure cloud data solutions and ETL/ELT pipelines using Spark and Azure DevOps to support the Transaction Banking Data Store.
Builds and maintains Azure data lakes, data warehouses, and CI/CD pipelines for innovative data solutions, collaborating with clients to deliver technical solutions within the Microsoft ecosystem.
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