Data Engineer
Posted 12 Oct 2026
Advertised as “GCP/Python Data Engineer (French Speaker) | BPCE-SI”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Engineering, Mathematics (or related)
Study levelBachelor's
Company Description
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.
Job Description
Natixis in Portugal is currently seeking a Google Cloud Platform (GCP) & Python Data Engineer (French Speaker) to join its BPCE SI (Solutions Informatiques) team to work in Porto or Lisbon. The ideal candidate will design, build, and maintain scalable data pipelines and data platforms to enable data-driven decision making.
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines (ELT/ETL) to ingest, process, and store large volumes of data from diverse sources.
- Build robust data models and schemas (data warehouse/data lake).
- Develop in Python to implement data transformations, orchestration, automation tasks, and data quality checks.
- Integrate testing into the data engineering lifecycle, including planning and executing testing activities (UAT/QA), validating data correctness, and ensuring release-ready pipelines.
- Collaborate with Data Engineers, Data Scientists, Analysts, and Business Stakeholders to understand data needs and deliver solutions.
- Leverage and/or implement data quality, monitoring, logging, and alerting to ensure data reliability.
- Ensure data governance, security, privacy, and compliance requirements are met (IAM, encryption, access controls).
- Create and maintain technical documentation, data dictionaries, runbooks, and test plans.
- Participate in code reviews, testing, and Agile/Scrum ceremonies.
- Optional but valued: experience with Control-M or other job orchestration tools; familiarity with CI/CD for data pipelines.
Qualifications
Hard Skills