$ cat jobs/senior-data-engineer-french-speaker-bpce-si-natixisinportugal-da2837a97292.json
Senior Data Engineer (French Speaker) | BPCE-SI
Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas — Corporate & Investment Banking and Asset & Wealth Management — as well as transversal services that support all entities across the Group. With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group. A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem. Natixis in Portugal is currently seeking a Senior Data Engineer (French Speaker) to join its BPCE-SI (BPCE Solutions Informatiques) team, within the IT (Information Technologies) department, to work in a hybrid model in the Porto office. 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 s
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