Data Engineer BI/DevOps for Traffic Fines

Project overview

The assignment is part of a public digitalization program concerning the processing of traffic fines.

Profile of the suited interim professional:

• Translate standards and guidelines into functional and technical requirements for data streams and reporting
• Gather information needs together with the Product Owner and analysts and elaborate into user stories
• Define data definitions and KPIs via a data dictionary and semantic layer
• Act as a point of contact for data and BI-related questions
• Develop, automate, and monitor rules for data quality
• Build controls into loading processes and follow up on deviations until resolution
• Document data lineage, data models, data streams, and processes
• Inform the team, Product Owner, and management about data quality
• Set up and manage CI/CD for data pipelines, models, and reports
• Configure monitoring and alerting for batch processes and data loads
• Support release and change management and resolve incidents
• Develop and maintain ETL and ELT processes
• Provide a reliable publication layer for BI tools such as SAS Visual Analytics, Power BI, and Apache Superset
• Contribute to the evolution of the data platform
• Prepare data for future AI applications
• Contribute to traceability, information security, and GDPR compliance
• Master's or Bachelor's degree in ICT or equivalent, or comparable experience
• At least 5 years of relevant background in data engineering, data warehousing, or BI
• Minimum 2 years of experience within a development team applying CI/CD
• Demonstrable ability to translate business and quality requirements into data requirements and acceptance criteria
• Experience in setting up and monitoring data quality controls
• Expert level in SQL and knowledge of data modeling, including Kimball and/or Data Vault
• Experience with ETL/ELT processes, batch processing, and SAS 9.4
• Hands-on experience with Azure Data Factory and PostgreSQL
• Strong knowledge of Python and familiarity with GitHub for version control and CI/CD
• Familiarity with Azure Synapse Analytics
• Knowledge of test automation and data quality tools such as dbt
• Familiarity with SAS Visual Analytics, Power BI, and/or Apache Superset
• Proficiency in Dutch or French, with understanding of the other national language and functional knowledge of English
• Full-time availability

Project details

• Start: flexible
• Location: Anderlecht, Flemish Brabant, Brussels, BE
• Languages: Dutch