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 a hybrid work model in 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.
Hard Skills
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
- 3+ years of professional data engineering experience.
- Strong Python development skills (design patterns, testing, packaging, performance considerations).
- Experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow/Beam, Dataproc, Pub/Sub, Cloud Composer/Airflow).
- Experience with SQL.
- Hands-on experience building and maintaining data pipelines, data lakes, or data warehouses.
- Proficiency with ETL/ELT concepts, data modeling, and schema design (star/snowflake schemas, normalization).
- Familiarity with data orchestration tools (Airflow/Cloud Composer) and CI/CD for data pipelines.
- Experience with version control (Git) and collaboration tooling.
- Exposure to testing practices: UAT, QA testing, test planning, data validations, and test automation is highly desirable.
- Good communication skills in French (+B1 level required) and English.
Soft Skills
- Excellent problem-solving skills;
- Attention to detail;
- Ability to work autonomously as well as in a team;
- Collaborative mindset with the ability to explain complex technical concepts to non-technical stakeholders;
- Proactive, with strong documentation habits and the ability to manage multiple priorities.
We will only consider CVs in English.
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 committed to being inclusive, caring, and fair, ensuring every voice is heard and valued.