Required skills
- Azure Databricks
- Azure Data Lake Storage Gen2
- Python
- SQL
- dbt Core
- Terraform
- Bicep
- GitLab
- Grafana
- CI/CD
- Infrastructure as Code
- Data Quality Tools
Nice to have:Data MeshAgile/Scrum
Languages: Dutch · English
Job description
Lead a data platform engineering team and work as a Data Platform Engineer on an Azure/Databricks environment, focusing on defining standards, delivering enablers, coaching team members, and ensuring platform stability, performance, and security.
Project overview
As Data Platform Engineering Lead, you will manage the platform team and also work as a Data Platform Engineer on an Azure/Databricks environment.
Profile of the suited interim professional:
- Define, implement, and monitor standards for platform engineering.
- Deliver and monitor enablers such as templates, automation, and governance controls.
- Coach team members and further develop the methodology used.
- Ensure the stability, performance, and security of the platform.
- Master's degree in computer science or engineering, or an equivalent level gained through experience
- Minimum of five years of experience with data platforms or data engineering, including technical leadership
- Extensive experience with Azure Databricks and ADLS Gen2
- Familiarity with CI/CD, infrastructure as code, monitoring, and security within production environments
- Thorough command of Python and advanced SQL, supplemented with experience in dbt Core or a similar tool
- Familiarity with Terraform or ARM/Bicep, GitLab, Grafana, and data quality control tools
- Knowledge of Data Mesh, Agile/Scrum, or affinity with the postal and logistics sector is recommended
- Excellent command of English, both spoken and written
Project details
- Start: flexible
- Location: Brussel, Flemish Brabant, Brussels, BE
- Languages: Dutch, English
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