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Azure Data Engineer Job ID: JP055100

Summary

The Azure Data Engineer will design, develop, and maintain scalable cloud-based data products and pipelines using Azure technologies. The role involves collaborating with stakeholders to implement data modeling, security, and integrations within an Agile/SAFe environment.

Azure Data Engineer

We are looking for an experienced Azure Data Engineer to design, develop, and maintain scalable cloud-based data solutions. You will work within an Agile/SAFe data team and collaborate closely with business stakeholders, analysts, and IT teams.

Key Responsibilities

  • Design, develop, and maintain data products and data pipelines.
  • Build data solutions for reporting and operational integrations.
  • Develop and maintain integrations with ERP, asset management, and SaaS platforms.
  • Implement efficient data flows, data modelling, security, and software-oriented data design.
  • Analyze data with business stakeholders and translate requirements into technical solutions.
  • Contribute to cloud data platform modernization and innovative data solutions.
  • Ensure data quality, performance, security, and maintainability.

Requirements

  • Strong experience with Azure Data Engineering.
  • Expert knowledge of Python and strong experience with PySpark, Spark, and SQL.
  • Advanced experience with Azure Databricks and Azure Data Factory.
  • Experience with Azure Storage, Key Vault, and Azure DevOps.
  • Knowledge of Spark Structured Streaming and Delta Change Data Feed.
  • Experience with Medallion Architecture and Kimball dimensional modelling.
  • Knowledge of Azure Entra ID, Managed Identities, Service Principals, encryption, and network security.
  • Experience integrating data from ERP/SaaS platforms and working with APIs is a plus.
  • Strong collaboration, communication, and analytical skills.
  • Experience working in an Agile/SAFe environment.
  • Dutch: Native or bilingual proficiency.
  • English: Nice to have.

Work Arrangement

  • Location: Aartselaar, Belgium
  • Hybrid working.

See also

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