Python/GCP Data Engineer (French Speaker) - BPCE SI at Natixis in Portugal

Loures, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, GCP, Data Pipelines, BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, SQL, ETL/ELT, Data Modeling, Airflow, Cloud Composer, Git, UAT, QA

Industry

IT Services and IT Consulting

Description

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 Python/Google Cloud Platform Data Engineer (French Speaker) to join its BPCE SI (Solutions Informatiques) team. 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) on GCP using BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and related services. 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. Stay current with GCP offerings and best practices; advocate for cloud-native data engineering patterns. Optional but valued: experience with Control-M or other job orchestration tools; familiarity with CI/CD for data pipelines. Qualifications 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). Practical experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow/Beam, Dataproc, Pub/Sub, Cloud Composer/Airflow) and 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. Additional Information 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.

Responsibilities

The role involves designing, building, and maintaining scalable data pipelines and platforms using Python and GCP services to ingest, process, and store large data volumes. Key tasks include developing robust data models, implementing data transformations, ensuring data quality, and collaborating with various stakeholders to deliver data-driven solutions.