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Open nowPosted 26 days ago

GCP/Python Data Engineer (French Speaker) | BPCE-SI

Natixis in Portugal51 open roles

Where
Portugal
Work mode
Hybrid
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Your applicationOpen nowGCP/Python Data Engineer (French Speaker) | BPCE-SINatixis in Portugal · Portugal

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Natixis in Portugal postings stay open a median of 24 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 26 days ago

Natixis in Portugal median: 24 days open

The posting

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

  • 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.

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.

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