Senior Data Engineer
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About the Role
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. Mandatory 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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