Job Description
Roles & Responsibilities
Data Engineer Confirm:
Main mission
Design, develop and maintain robust and performant data pipelines in the Microsoft Fabric environment, in collaboration with support teams and architects.
Responsibilities:
- Develop ingestion and transformation pipelines (Data Factory, Notebooks, Dataflows Gen2)
- Participate in data modeling in Lakehouses
- Ensure the quality, traceability and performance of treatments
- Collaborate with Data Analysts to feed Power BI models
- Document flows, business rules and best practices
- Participate in testing, industrialization and support of solutions
Qualifications:
- Mastery of Microsoft Fabric (Data Factory, Lakehouse, Synapse, Power BI)
- Good level in SQL, Spark, Python
- Knowledge of data modeling principles (dimensional, normalized)
- Team spirit, rigor, autonomy
- Experience: 3-6 years in data engineering
Data Engineer Senior:
Responsibilities:
- Design advanced data processing architectures (batch, real-time, hybrid)
- Technically supervise confirmed and junior Data Engineers
- Optimize treatment performance and cost management
- Define and enforce development and quality standards
- Collaborate with architects to align solutions with the target architecture
- Participate in technological watch and continuous improvement of the platform
Qualifications:
- Expertise on Microsoft Fabric (OneLake, Synapse, Notebooks, Data Factory, Power BI)
- Advanced mastery of SQL, Spark, Python, CI/CD
- Experience in industrialization, monitoring, security of flows
- Technical leadership, ability to train and supervise
- Experience: 6-10 years in data engineering, including at least 2 on Fabric or Azure
Desired Candidate Profile
- Mastery of Microsoft Fabric (Data Factory, Lakehouse, Synapse, Power BI)
- Good level in SQL, Spark, Python
- Knowledge of data modeling principles (dimensional, normalized)
- Team spirit, rigor, autonomy
- Experience: 3-6 years in data engineering
- Expertise on Microsoft Fabric (OneLake, Synapse, Notebooks, Data Factory, Power BI)
- Advanced mastery of SQL, Spark, Python, CI/CD
- Experience in industrialization, monitoring, security of flows
- Technical leadership, ability to train and supervise
- Experience: 6-10 years in data engineering, including at least 2 on Fabric or Azure