Data Engineer (French Speaker) | BPCE-SI

Mission: We are seeking a detail-oriented and analytical Data Engineer to join our team. The ideal candidate will possess a strong background in data analysis, statistical methods, and data visualization, while also demonstrating autonomy, strong communication skills, and a proactive mindset. This role involves working closely with various departments to gather data, analyze trends, and provide actionable insights that support business objectives.

Key Responsibilities:

• Analyze and interpret complex data sets to provide actionable insights and support business objectives.
• Collaborate with cross-functional teams to understand data requirements and provide analytical support.
• Extract, transform, and load (ETL) data using SQL, Stambia, and Oracle Exadata (or other ETL tools) to ensure data quality and integrity.
• Assist in the design and implementation of data models and structures to support reporting and analysis.
• Participate in continuous improvement initiatives for data processes and analytics methodologies, including the coordination of actions for ongoing operational tasks (RUN).
• Handle functional incidents and contribute to technical developments and system enhancements.
• Present findings and recommendations to stakeholders in both French and English.

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Engineer or in a similar role (3+ years).
• Proficient in SQL for data extraction and manipulation.
• Extract, transform, and load (ETL) data using SQL, Stambia (or other ETL tools) to ensure data quality and integrity.
• Experience with Oracle Exadata database is a big plus.
• Experience with Google Cloud Platform (GCP) is a plus.
• Proficiency in Power BI for data visualization and reporting is preferred.
• Strong analytical and problem-solving skills, with a commitment to rigor and participation in team rituals.
• Excellent communication skills in French (C1 level required) and English (B2 level required).
• Ability to work independently and collaboratively in a team environment, with a strong inclination towards technical and functional aspects of data management.

Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are commited to being inclusive, caring, and fair, ensuring every voice is heard and valued.