Azure Data Engineer – ADF / Databricks / Python / SQLLocation: Amsterdam, NetherlandsWorking Model: Hybrid – 3 days onsite / 2 days working from homeContract: Long-term contractEngagement: ZZP or PayrollLanguage: EnglishRole OverviewWe are looking for an experienced Azure Data Engineer to join a long-term project based in Amsterdam. The successful candidate will be responsible for designing, developing and maintaining scalable data solutions within the Microsoft Azure ecosystem.This is a hands-on engineering position requiring strong commercial experience with Azure Data Factory (ADF), Azure Databricks (ADB), Python and SQL.Key ResponsibilitiesDesign, build and maintain scalable data pipelines using Azure Data Factory (ADF).Develop and optimise data processing and transformation solutions using Azure Databricks.Build data engineering solutions and automation using Python.Develop complex SQL queries, transformations and data models.Design and maintain ETL/ELT workflows across Azure-based data platforms.Integrate data from multiple structured and unstructured data sources.Monitor, troubleshoot and optimise data pipelines for performance and reliability.Implement appropriate data quality, validation and error-handling processes.Work closely with data architects, analysts, developers and wider technology teams.Support deployment and ongoing improvement of production data solutions.Follow engineering best practices around maintainability, scalability and documentation.Must-Have SkillsStrong commercial experience as an Azure Data Engineer.Hands-on experience with Azure Data Factory (ADF).Strong hands-on experience with Azure Databricks (ADB).Strong Python development skills for data engineering.Advanced SQL knowledge.Strong understanding of ETL/ELT and data pipeline development.Experience building and supporting cloud-based data solutions within Microsoft Azure.Good understanding of data transformation, integration and processing.Ability to troubleshoot and optimise data pipelines and data workloads.Strong communication skills and ability to work effectively within engineering teams.Desirable SkillsPySpark / Spark.Azure Data Lake Storage (ADLS).Delta Lake / Delta Tables.CI/CD and DevOps practices for data engineering.Git / Azure DevOps.Data modelling and data warehousing experience.Experience working with large-scale data platforms.

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