Data Engineer – ETL & DevOps

Pauwels Consulting; Brussel; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Contract: permanent or freelance

Job summary

Pauwels Consulting is seeking a skilled data engineer to join its development team in Anderlecht. The role focuses on bridging business requirements and technical delivery, ensuring data quality, and applying DevOps principles to BI workflows.

Responsibilities include defining data definitions, building CI/CD pipelines, and maintaining ETL/ELT processes, with a strong emphasis on GDPR compliance and data security from source to report. Hybrid work is offered.

Qualifications

• 5+ years in data engineering, data warehousing, or business intelligence.
• 2+ years in a development team applying CI/CD and DevOps principles.
• Expert-level SQL and data modeling including Kimball, Data Vault, and SCD.
• Experience developing ETL/ELT processes and managing batch processing pipelines.
• Proficiency in Git, GitHub Actions, Azure DevOps, or GitLab CI.
• Experience BI platforms like SAS Visual Analytics, Power BI, or Apache Superset.
• Knowledge of automated testing and data quality tools.
• Familiarity with Jira or Azure Boards for agile workflow management.
• Analytical mindset and ability to communicate technical concepts to non-technical stakeholders.
• Fluent in Dutch or French with good knowledge of the other language and functional English.

Responsibilities

• Translate organizational standards and business requirements into concrete functional and technical requirements for data streams.
• Define data definitions and KPIs within a semantic layer to ensure consistent calculations and reporting across the platform.
• Automate and monitor data quality rules to ensure completeness, accuracy, and consistency throughout the data chain.
• Implement CI/CD pipelines for data processes using version control, automated testing, and controlled release cycles.
• Develop and maintain ETL/ELT processes and a reliable publication layer for various business intelligence tools.
• Ensure compliance with information security, GDPR, and internal audit expectations from source to report.

Skills

SQL

Data modeling

CI/CD

DevOps

ETL/ELT

Data quality

Version control

BI tooling

Agile tools

Communication

Tools

Git

GitHub Actions

Azure DevOps

GitLab CI

SAS 9.4

Python

dbt

Docker

Azure Cloud

Power BI

Apache Superset

PostgreSQL

Azure Data Factory

Azure Synapse Analytics

Job description

Our client, a prominent organization in the public sector, is looking for a professional to join the development team of a specialized administrative processing platform. The role focuses on bridging the gap between business requirements and technical delivery by ensuring data quality and applying DevOps principles to business intelligence workflows.

• Translate organizational standards and business requirements into concrete functional and technical requirements for data streams.
• Define data definitions and KPIs within a semantic layer to ensure consistent calculations and reporting across the platform.
• Automate and monitor data quality rules to ensure completeness, accuracy, and consistency throughout the data chain.
• Implement CI/CD pipelines for data processes using version control, automated testing, and controlled release cycles.
• Develop and maintain ETL/ELT processes and a reliable publication layer for various business intelligence tools.
• Ensure compliance with information security, GDPR, and internal audit expectations from source to report.

• 5+ years of experience in data engineering, data warehousing, or business intelligence.
• 2+ years of experience working within a development team applying CI/CD and DevOps principles.
• You possess expert-level SQL skills and experience in data modeling including Kimball, Data Vault, and SCD.
• You have experience developing ETL/ELT processes and managing batch processing pipelines.
• You bring proficiency in version control and CI/CD tooling such as Git, GitHub Actions, Azure DevOps, or GitLab CI.
• You're experienced with business intelligence platforms like SAS Visual Analytics, Power BI, or Apache Superset.
• You have knowledge of automated testing and data quality tools.
• You bring familiarity with Jira or Azure Boards for agile workflow management.
• You possess an analytical mindset and the ability to communicate technical concepts to non-technical stakeholders.
• You are fluent in Dutch or French with a good knowledge of the other language and functional English.

Nice to Haves

• Experience with SAS 9.4, including Base SAS, Enterprise Guide, and DI Studio.
• Knowledge of Python, dbt, Docker, or Azure cloud services.
• Familiarity with PostgreSQL, Azure Data Factory, or Azure Synapse Analytics.
• Possession of a DAMA CDMP, Cloud Data Engineer, or DevOps certification.

• 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