Natixis in Portugal is seeking a Python Data Engineer who speaks French to join the BPCE SI (Solutions Informatiques) team in Porto or Lisbon. The ideal candidate will design, build and maintain scalable data pipelines and data platforms to enable data‑driven decision making. Responsibilities include designing, developing and maintaining end‑to‑end ELT/ETL pipelines to ingest, process, and store large volumes of data from diverse sources; building robust data models and schemas for data warehouses and data lakes; developing in Python to implement data transformations, orchestration, automation tasks and data quality checks; integrating testing into the data engineering lifecycle (UAT/QA), validating data correctness, and ensuring release‑ready pipelines; collaborating with Data Engineers, Data Scientists, Analysts and Business Stakeholders to understand data needs and deliver solutions; implementing data quality, monitoring, logging and alerting to ensure data reliability; ensuring data governance, security, privacy and compliance (IAM, encryption, access controls); creating and maintaining technical documentation, data dictionaries, runbooks and test plans; participating 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. Requirements include a Bachelor’s degree in Computer Science, Engineering, Mathematics or related field (or equivalent practical experience); 3+ years of professional data engineering experience; strong Python development skills (de

Natixis in Portugal is seeking a Python Data Engineer who speaks French to join the BPCE SI (Solutions Informatiques) team in Porto or Lisbon. The ideal candidate will design, build and maintain scalable data pipelines and data platforms to enable data‑driven decision making. Responsibilities include designing, developing and maintaining end‑to‑end ELT/ETL pipelines to ingest, process, and store large volumes of data from diverse sources; building robust data models and schemas for data warehouses and data lakes; developing in Python to implement data transformations, orchestration, automation tasks and data quality checks; integrating testing into the data engineering lifecycle (UAT/QA), validating data correctness, and ensuring release‑ready pipelines; collaborating with Data Engineers, Data Scientists, Analysts and Business Stakeholders to understand data needs and deliver solutions; implementing data quality, monitoring, logging and alerting to ensure data reliability; ensuring data governance, security, privacy and compliance (IAM, encryption, access controls); creating and maintaining technical documentation, data dictionaries, runbooks and test plans; participating 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. Requirements include a Bachelor’s degree in Computer Science, Engineering, Mathematics or related field (or equivalent practical experience); 3+ years of professional data engineering experience; strong Python development skills (de