Societe Generale Global Solution Centre (SG GSC) acts as a business solutions center for Société Générale, one of the largest European financial groups. We provide high quality professional services in over 35 countries in various business areas - Finance & Accounting, HR, IT and Corporate Operations. Our mission is to be a partner of choice, valued for owning, transforming and innovating with best-in-class talent.

Within the Société Générale Group, you will join Global Technology Services (GTS), which is the IT entity in charge of infrastructure and its Digital Workplace Services teams, whose mission is to provide the Group's employees with their Digital Workplace.

Digital Workplace brings together all the services and tools of the work environment: the personal workstation of course, but also the smartphone, the corporate social network, communication and collaborative tools such as messaging, Teams, SharePoint, etc.

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in PySpark. The ideal candidate will be responsible for building and optimizing ETL pipelines, managing CI/CD operations and supervise the activity in Romania. You will work in an Agile environment and collaborating with international teams.

What you will do:

Data Engineering & Development

• Design, build, and optimize scalable ETL pipelines using PySpark within the Hadoop ecosystem (Cloudera);
• Perform data modeling to support efficient data processing and analytics;
• Develop and maintain Python scripts and Unix shell scripts for automation and data manipulation;
• Integrate and manage data flows using Kafka for real-time data streaming (produce and consume via topics).

DataOps & CI/CD

• Ensure the smooth operation of the CI/CD DevOps chain, including Jenkins, JFrog, and Ansible;
• Monitor and troubleshoot data workflows and deployments to maintain high availability and performance.

Leadership & Collaboration

• Supervise and mentor junior developers, providing technical guidance and support;
• Participate in workshops and cross-functional meetings to define and implement new data use cases;
• Contribute to the definition of new analytical use cases, identifying relevant data and transforming it for reporting;
• Lead and participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives);
• Conduct training sessions and ensure knowledge sharing across the team.