Azure Data Engineer / Data Scientist (STIB-PU_2026_060)
Primary stack
Nice to have's
Job description
About the Position
Azure Data Engineer / Data Scientist (STIB-PU_2026_060)
Full-time contract from mid-October 2026 until the end of December 2026, with a possible extension beyond December subject to budget approval.
As part of its 2026 roadmap, STIB is delivering a set of strategic data use cases on its Azure Databricks platform. To help us deliver on time, we are looking for an experienced Azure Data Engineer / Data Scientist to strengthen our Data & Analytics team.
As a Azure Data Engineer / Data Scientist, you will bridge data engineering and data science to bring our use cases into production before the end of the year. You will build and optimise data pipelines in Databricks, take ownership of the models and indicator calculations already developed by the team, and adapt or improve them where needed.
Responsibilities
- Design, develop and optimise data pipelines in Azure Databricks and Azure Data Factory to feed the use cases.
- Industrialise models and calculations so they run reliably in production (scheduling, monitoring, data quality checks).
- Build and support Power BI reports, including data modelling, DAX measures, report design, performance optimisation and alignment with business reporting needs.
- Quickly understand the existing models and calculation logic, including anomaly detection models (statistical methods and Isolation Forest) and indicator calculations.
- Modify, retrain, validate and improve these models and indicators when business needs or data evolve.
- Collaborate with Data Engineers, Data Scientist and business stakeholders to translate needs into concrete deliverables.
- Document data flows, models, calculation logic and best practices to ensure a smooth handover at the end of the assignment.
Requirements
- Proficiency with Azure Databricks and Azure services: Data Factory, Azure Storage, Key Vault, Azure DevOps.
- Strong experience with Spark/PySpark and Delta Lake / Lakehouse architectures.
- Strong skills in SQL and Python (pandas, scikit-learn).
- Strong experience building Power BI reports, including semantic/data modelling, DAX, visual design, performance optimisation and deployment best practices.
- Knowledge of statistics and machine learning, in particular anomaly detection techniques (e.g. statistical thresholds, Isolation Forest).
- Ability to read, understand and take over existing code and models developed by others.
- Adhere to best practices.
Nice to Have
- Experience with MLOps practices (e.g. MLflow, model versioning, CI/CD).
- Databricks certification (e.g., Databricks Data Engineer Associate or Machine Learning Associate).
- Microsoft Azure certification (e.g., DP-100 Azure Data Scientist Associate).
- Microsoft Power BI certification, such as PL-300: Microsoft Power BI Data Analyst.
- Experience in public transport, mobility or energy sectors.
- Experience working in Agile/Scrum environments.
- Basic SAP knowledge (S4/Hana as a major data source).
Profile
- Degree in Computer Science, Data Science, Statistics, Engineering or a related field.
- Minimum 5 years of experience in data science and/or data engineering, with hands-on experience in both.
- Proven ability to be operational quickly and deliver within tight deadlines.
- Analytical mindset, attention to detail, autonomy, and team spirit.
- Strong communication skills and ability to explain technical concepts clearly.
Languages
- Dutch: Native or bilingual proficiency
- French: Native or bilingual proficiency
- English: Full professional proficiency
We Offer
- Full-time contract with a possible extension beyond December subject to budget approval.
- Opportunity to work on strategic data use cases.
- Collaborative environment with Data Engineers, Data Scientists, and business stakeholders.
About the Company
ProUnity est le point de contact unique (SPOC) pour cette mission. Si vous avez des questions, vous pouvez contacter Henri Couchard, MSP Consultant, par e-mail à [email protected]
Description de mission
Azure Data Engineer / Data Scientist
Full-time contract from mid-October 2026 until the end of December 2026, with a possible extension beyond December subject to budget approval.
Context
As part of its 2026 roadmap, STIB is delivering a set of strategic data use cases on its Azure Databricks platform. To help us deliver on time, we are looking for an experienced Azure Data Engineer / Data Scientist to strengthen our Data & Analytics team.
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