Azure Data Engineer
As an Azure Data Engineer, you will play a key role in the further development, optimization, and governance of a modern Azure Data Platform environment at a technology company. The focus is on developing new data use cases for reporting, analytics, and data science, strengthening data governance, supporting self-service data solutions, and optimizing platform performance and costs.
You will contribute to the evolution of the data architecture and ensure that the platform remains performant, scalable, secure, and reliable.
What you do
- Design, develop, and maintain data pipelines with Azure Data Factory, Databricks, and other Azure services
- Implement modern data architectures such as Data Lake, Delta Lake
- Develop and industrialize new business use cases for reporting, analytics, and data science
- Implement and manage Databricks Unity Catalog, including data governance, security, access control, and data sharing
- Support a self-service data strategy for business users
- Monitor and optimize performance, resource consumption, and costs within Azure and Databricks
- Automate data ingestion, transformation, and deployment processes
- Collaborate with Data Analysts, Data Scientists, and business stakeholders
- Document dataflows, architectures, and best practices
- Actively contribute to the continuous improvement of the Azure Data Platform
Profile
- Bachelor's or Master's degree in Computer Science, Data Engineering, or an equivalent field
- Minimum 5 years of relevant experience as a Data Engineer or in a similar role
- Proven experience with Azure Databricks, Unity Catalog, and Azure data architecture
- Strong expertise in Azure Data Factory, Azure Databricks, Azure Storage, Azure SQL, Azure Key Vault, and Azure DevOps
- Thorough knowledge of Lakehouse architectures, Spark, PySpark, Delta Lake, SQL
- Experience with data governance, monitoring, performance optimization, and cost management in Azure environments
- Knowledge of CI/CD principles and integration patterns such as REST API and AMQP
- Strong analytical skills, proactive and solution-oriented, with both an independent and collaborative work attitude
- Strong communication skills and the ability to clearly convey technical concepts to various stakeholders
Languages.
- Dutch or French: excellent knowledge
- Second national language (Dutch or French): good knowledge
- English: good knowledge
Assets.
- Microsoft Azure or Databricks certifications
- Experience with Power BI management and governance
- Experience with real-time data streaming
- Knowledge of Terraform or Infrastructure as Code
- Experience with Azure Monitor and Log Analytics
- Basic knowledge of SAP (S/4HANA or BW/4HANA)
- Experience within Agile/Scrum teams
How to apply
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