Senior Data Engineer -OVAM000435
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Job description
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.
Requirements
- 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
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