Azure Databricks Engineer
Location: 100% Remote Start: ASAP / up to 1 month / flexible Contract: B2B via Experis
We are looking for an experienced Azure Databricks Engineer to build and optimize modern cloud data platforms and pipelines in Azure.
Key Responsibilities
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Develop scalable data processing solutions using Azure services.
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Design, build, and maintain data pipelines integrating multiple data sources.
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Transform and optimize large structured and unstructured datasets.
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Collaborate with data engineers, architects, analysts, and business stakeholders.
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Support end-to-end delivery of cloud data and analytics solutions.
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Document solutions and ensure performance and cost efficiency.
Requirements
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Hands-on experience with Azure Databricks, Azure Data Factory, and data lakes.
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Strong knowledge of Azure Cloud and modern data platform architectures.
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Expertise in SQL, PySpark, Python, ETL/ELT, and data modeling (3NF, Star/Snowflake).
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Experience with Unity Catalog, MLflow, Jobs & Pipelines in Databricks.
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Understanding of Lakehouse, Medallion Architecture, APIs, and event-driven architectures.
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Experience with Git, Azure DevOps, CI/CD, and analytics tools such as Power BI.
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Strong communication and teamwork skills.
What We Offer
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B2B contract via Experis.
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100% remote work.
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Medicover healthcare package.
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Multisport card.
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Group life insurance.
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