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.