Data Engineer

Il y a 3 jours

Brussel Hoofdstad, Belgique AddanEx International Temps plein 60 000 € - 90 000 €/an

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Gratuit avec email ou Google

Duration: 12 months, with possible extensions

Languages: Dutch (fluent), an understanding of French, and functional English

More than 5 years of experience in data engineering, data warehousing or BI, with at least 2 years in a development team using CI/CD
Master's or Bachelor's degree in ICT, or equivalent through experience
Expert SQL and data modelling: Kimball and/or data vault, SCD and incremental loads
ETL/ELT development and batch processing
Git, branching strategies, code reviews and CI/CD tooling, such as GitHub Actions, Azure DevOps or GitLab CI
Test automation and data quality tooling, such as dbt tests or equivalent
Monitoring and alerting of data processes
BI tools (SAS Visual Analytics, Power BI and/or Apache Superset) and the semantic layer principle
Proven experience translating business and quality needs into data requirements and acceptance criteria
Experience setting up and monitoring data quality controls
Comfortable with Jira or Azure Boards
Proven experience in the public sector
Fluent Dutch, an understanding of French, and functional English

Python, dbt, Docker and Azure
DAMA CDMP or another data management or data quality certification
Cloud data engineer certification, such as Microsoft or Databricks, or a DevOps certification

Bridge the gap between standards, business information needs and technical delivery in a development team.
Translate architecture, information security and GDPR standards into functional and technical requirements.
Define data definitions and KPIs in a data dictionary and semantic layer.
Build, automate and monitor data quality rules, and follow deviations through to resolution.
Set up and manage CI/CD for data pipelines, data models and reports across development, test and production.
Set up monitoring and alerting on batch processes and data loads.
Develop and maintain ETL/ELT processes and a reliable publication layer for BI tools.
Maintain lineage and documentation, and help make data AI-ready.
Support traceability, access management and row-level security from source to report.