Azure Data Engineer needs core skills in:
- Creating effective and scalable data structures in SQL & Python
- Azure Cloud Fundamentals and ETL/Data Pipelines focusing on integrating, transforming, building and managing end-to-end data pipelines, combining data from several sources and storing data using services like ADLS Gen2
- Synapse Analytics
- Databricks
- Proficiency in administering Azure databases, and securing data, plus strong data modeling and big data tech (Spark)

Core Technical Skills
Programming: Python (scripting, PySpark) & SQL (advanced querying, optimization).
Azure Fundamentals: Core cloud concepts, Resource Groups, Subscriptions.
Data Integration & ETL/ELT: Azure Data Factory (ADF).
Data Storage: Azure Data Lake Storage (ADLS Gen2), Azure SQL Database.
Big Data Processing: Azure Databricks (Spark, PySpark) for large datasets.
Data Warehousing: Azure Synapse Analytics (serverless pools, data warehousing).
Foundational Knowledge
Data Modeling: Designing efficient data structures (star/snowflake schemas).
Data Architecture: Understanding data lakes vs. warehouses.
Security: Data encryption, access control, compliance within Azure.

Important Tools & Concepts:
Microsoft Fabric;
DevOps: CI/CD practices.

Soft Skills
Problem-solving, analytical thinking, communication, teamwork.

Preferred Knowledge of:
Hadoop, MapReduce, Oracle DB.

Azure Data Engineer needs core skills in:
- Creating effective and scalable data structures in SQL & Python
- Azure Cloud Fundamentals and ETL/Data Pipelines focusing on integrating, transforming, building and managing end-to-end data pipelines, combining data from several sources and storing data using services like ADLS Gen2
- Synapse Analytics
- Databricks
- Proficiency in administering Azure databases, and securing data, plus strong data modeling and big data tech (Spark)

Core Technical Skills
Programming: Python (scripting, PySpark) & SQL (advanced querying, optimization).
Azure Fundamentals: Core cloud concepts, Resource Groups, Subscriptions.
Data Integration & ETL/ELT: Azure Data Factory (ADF).
Data Storage: Azure Data Lake Storage (ADLS Gen2), Azure SQL Database.
Big Data Processing: Azure Databricks (Spark, PySpark) for large datasets.
Data Warehousing: Azure Synapse Analytics (serverless pools, data warehousing).
Foundational Knowledge
Data Modeling: Designing efficient data structures (star/snowflake schemas).
Data Architecture: Understanding data lakes vs. warehouses.
Security: Data encryption, access control, compliance within Azure.

Important Tools & Concepts:
Microsoft Fabric;
DevOps: CI/CD practices.

Soft Skills
Problem-solving, analytical thinking, communication, teamwork.

Preferred Knowledge of:
Hadoop, MapReduce, Oracle DB.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

At Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether youre joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

Still hesitating?

You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.

We are committed to support accelerating our Groups ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Diversit et inclusion