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Arla is hiring a Data Platform Engineer in Aarhus to evolve its Data Foundation platform, building scalable cloud-based data services, pipelines and APIs on Azure Databricks to support analytics and AI, while shaping technical direction and mentoring colleagues.
An experienced data platform engineer joins Arla's international Data Foundation team to build and run the company's core Azure Databricks data platform - implementing services, APIs and data pipelines, evolving CI/CD, automation and observability, and mentoring colleagues. Core stack: Azure Databricks, Azure services, Terraform, Python/PySpark, SQL.
Design, build, automate, and operate Azure-based cloud platforms and data flows supporting Arla's PLM ecosystem and integrations. Requires 4–8 years of Azure/cloud engineering, strong Azure Databricks experience, and solid DevOps practices, in a hybrid model with 50% in-office time in Gdańsk.
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