Senior Data Engineer -OVAM000435

We are looking for a Senior Data Engineer to support the modernization of a large-scale data platform within the public sector. The project focuses on replacing legacy systems through a phased modernization approach, improving data management, increasing scalability, and enabling advanced analytics and machine learning initiatives. You will be responsible for designing, developing, and maintaining modern cloud-based data solutions, supporting data migration activities, and building scalable data pipelines using Azure technologies. Responsibilities

• Design, build, and maintain scalable data platforms on Microsoft Azure.
• Develop and optimize ETL/ELT pipelines and data transformation processes.
• Perform complex data migration from legacy environments to modern cloud platforms.
• Develop and maintain Databricks solutions for large-scale data processing.
• Work with SQL to design and optimize databases and queries.
• Deploy and manage workloads using Kubernetes.
• Collaborate with architects, analysts, and development teams to deliver high-quality data solutions.
• Support data quality, governance, and performance optimization.
• Contribute to cloud infrastructure improvements and automation where applicable.
• Participate in Agile project delivery.

• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or equivalent experience.
• Minimum 5 years of experience as a Data Engineer or in a similar role.
• Strong hands-on experience with Microsoft Azure.
• Proven experience with Databricks.
• Proven experience with data migration projects.
• Strong SQL expertise.
• Experience working with Kubernetes.
• Experience within the public sector.
• Experience within the waste management/environmental sector.
• Native-level Dutch (CEFR C2) is mandatory.

Preferred Skills

• Experience with dbt (Data Build Tool).
• Experience with Python.
• Experience with Terraform.
• Previous experience within the Flemish Government.
• Experience with cloud infrastructure automation.
• Knowledge of modern data engineering best practices.

Technical Environment

• Microsoft Azure
• Azure Databricks
• SQL
• Kubernetes
• dbt
• Python
• Terraform
• Data Migration
• Cloud Data Platforms