Senior Data Engineer

Senior Azure Data Engineer voor een klant in Brussel, hybride, freelance langdurige opdracht.

Locatie
Brussel, BE
Werkvorm
hybride
Sluitingsdatum

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Eisen

  • Azure Data Lake Gen2
  • Python
  • Azure Databricks
  • PySpark
  • Azure Synapse
  • Azure Data Factory

Wensen

  • ETL/ELT and data integration
  • Data quality, metadata and lineage concepts
  • Working with large-scale analytical datasets
  • Semantic data modelling / Power BI
  • SQL and relational databases
  • Data modelling
  • Infrastructure as Code
  • CI/CD and DevOps practices
Volledige omschrijving

Are you an experienced Azure Data Engineer who enjoys building scalable data platforms and transforming complex business requirements into robust technical solutions? For one of our clients in Brussels, we are looking for a Senior Azure Data Engineer to strengthen an established Data & Analytics team. You will work in a modern Microsoft Azure environment and contribute to the development and evolution of enterprise-level data platforms. As a Senior Azure Data Engineer, you will be involved throughout the data lifecycle.

You will: Design, develop and maintain scalable data pipelines and ETL/ELT processes; Build data solutions using Azure Data Factory and Azure Databricks; Develop data transformations using Python and PySpark; Work with Azure Data Lake Storage Gen2 and Azure Synapse; Analyse business requirements and translate them into functional and technical data solutions; Design and optimise data models for analytical use cases; Monitor production pipelines, investigate issues and improve performance and reliability; Implement automated testing and contribute to data quality initiatives; Work with CI/CD and Infrastructure as Code within an Azure/DevOps environment; Collaborate closely with Data Engineers, Data Architects, Analysts and business stakeholders; Contribute to topics such as metadata management, data lineage and data quality.

We are looking for someone with strong hands-on experience in: Core technologies: Azure Data Factory, Azure Databricks, Python, PySpark, Azure Data Lake Gen2, Azure Synapse. You also have experience or knowledge of: ETL/ELT and data integration; Data modelling; CI/CD and DevOps practices; Infrastructure as Code; SQL and relational databases; Data quality, metadata and lineage concepts; Semantic data modelling / Power BI; Working with large-scale analytical datasets.

You are comfortable discussing requirements directly with business stakeholders and can translate those requirements into maintainable and performant technical solutions.

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