Data Engineer – SQL & ETL

Pauwels Consulting; Brussel; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Pauwels Consulting is seeking a Data Engineer to join a large-scale digital transformation in the public sector, focusing on bridging business needs with technical delivery through robust data pipelines and strong data quality controls.

The role involves defining semantic layer KPIs, implementing CI/CD for data models, and supporting BI tools like Power BI, SAS Visual Analytics, or Apache Superset. Hybrid work from Anderlecht, start 13/12/2026 for 12 months.

Qualifications

• 5+ years in data engineering, data warehousing, or BI.
• 2+ years in a development team with CI/CD workflows.
• Expert SQL and data modeling (Kimball, Data Vault, SCD).
• Experience with ETL/ELT and batch processing.
• Version control and CI/CD tools (Git, GitHub Actions, Azure DevOps, GitLab CI).
• BI tools and semantic layers (Power BI, SAS Visual Analytics, Apache Superset).
• Data quality and testing automation using dbt tests.
• Experience with Jira or Azure Boards.
• Fluent Dutch or French, functional English, passive knowledge of the other language.

Responsibilities

• Translate architectural standards and business needs into data flow requirements.
• Define data definitions and KPIs in a semantic layer for consistent reporting.
• Implement data quality rules to detect inconsistencies in data.
• Develop and maintain ETL/ELT processes for BI publication layer.
• Set up and manage CI/CD pipelines for data models and reports.
• Monitor batch processes and data loads with governance and security compliance.

Skills

Analytical skills

Attention to detail

Proactive

Dutch language

French language

English (functional)

Education

DAMA CDMP

Azure Data Engineer

Databricks

Tools

Git

GitHub Actions

Azure DevOps

GitLab CI

Power BI

SAS Visual Analytics

Apache Superset

dbt tests

Jira

Azure

Python

Docker

Job description

Our client, a major public sector organization, is seeking a Data Engineer to join a large-scale digital transformation program within the legal domain. The role focuses on bridging the gap between business requirements and technical delivery by implementing robust data pipelines and maintaining high data quality standards.

• 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.

• 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.

• Start date: 13/12/2026
• Duration: 12 months
• Work regime: Full-time
• Location: Anderlecht
• Working model: Hybrid
• Contract: open to both permanent employees and freelancers