Data Engineer (French Speaker) | BPCE-SI

Natixis in Portugal

1d•Hybrid

About The Position

Natixis in Portugal is seeking a Data Engineer (French Speaker) to join its BPCE-SI team within the IT department. This role operates under a hybrid model in the Porto office. The primary mission is to play a key role in designing, developing, implementing, and maintaining the data warehouse. Technical expertise in ETL tools like PowerCenter, combined with proficiency in PL/SQL, is essential for ensuring data quality, reliability, and performance. Familiarity with Power BI is considered a significant asset.

Requirements

Higher education degree in Computer Science, Engineering, Applied Mathematics, or a related field.
Significant experience (minimum 5 years) as a Data Engineer, ETL Developer, or in a similar role.
In-depth mastery of a major ETL tool, with PowerCenter being a strong asset. Experience with other ETL tools will be a plus.
Excellent proficiency in PL/SQL for developing and optimizing queries and scripts (Oracle is strongly recommended).
Solid knowledge of data modeling (relational, dimensional) and data warehouse design.
Familiarity with database management systems (e.g., Oracle).
Fluent French, both written and spoken.
B2 level in English.
Autonomy, rigor, organizational skills, and problem-solving abilities.
Ability to work in a team and communicate effectively.

Nice To Haves

Experience with other ETL tools will be a plus.
Experience with Power BI for creating reports and dashboards (optional).

Responsibilities

Design, develop, test, and deploy robust and high-performing data integration solutions using PowerCenter or similar ETL tools such as Talend, ODI, Semarchy/Stambia, Oracle Exadata Database.
Develop and optimize complex PL/SQL stored procedures, functions, and queries to support business data needs.
Participate in the modeling and evolution of our datawarehouse, ensuring data consistency and integrity.
Collaborate with business teams and other technical teams to understand data requirements and translate these into effective technical solutions.
Ensure the maintenance, support, and optimization of existing data pipelines.
Diagnose and resolve data-related and ETL pipeline issues.
Implement and follow best practices in data quality, governance, and security.
Participate in the design and development of dashboards and reports in Power BI, ensuring access to relevant data (PBI is a plus).
Share technical expertise and potentially mentor junior team members.