Data Engineer – SQL & ETL

Responsibilities

• Translate architectural standards and business needs into concrete functional and technical requirements for data flows.
• Define data definitions and KPIs within a semantic layer to ensure consistent reporting across the organization.
• Implement and automate data quality rules to detect and resolve inconsistencies in completeness and accuracy.
• Develop and maintain ETL/ELT processes to provide a reliable publication layer for various business intelligence tools.
• Set up and manage CI/CD pipelines for data models and reports to ensure controlled releases.
• Monitor batch processes and data loads while ensuring compliance with data governance and security policies.

Requirements

• You bring 5+ years of experience in data engineering, data warehousing, or business intelligence.
• You possess 2+ years of experience working in a development team utilizing CI/CD workflows.
• You have expert-level knowledge of SQL and data modeling methodologies such as Kimball, Data Vault, and SCD.
• You have experience with ETL/ELT processes and batch processing.
• You're proficient with version control and CI/CD tools including Git, GitHub Actions, Azure DevOps, or GitLab CI.
• You possess knowledge of BI tools and semantic layers such as Power BI, SAS Visual Analytics, or Apache Superset.
• You bring experience with data quality and testing automation using tools like dbt tests.
• You have experience working with Jira or Azure Boards.
• You're analytical, accurate, and proactive within complex environments.
• You are fluent in Dutch or French with functional English and a passive understanding of the other national language.

Nice to Haves

• Certifications such as DAMA CDMP, Azure Data Engineer, or Databricks.
• Experience with Python, dbt, Docker, or Azure.
• Knowledge of SAS 9.4, including Base SAS, Enterprise Guide, and DI Studio.
• Previous experience working within a public sector organization.