Python Data Engineer (French Speaker) | BPCE SI

Natixis in Portugal

Lisboa

Presencial

EUR 50 000 - 75 000

Tempo integral

14 dias+

Recebe mais respostas dos empregadores

Envia um currículo específico para a oferta em poucos minutos.

Vantagens oferecidas por esta oferta de emprego

Green transportation budget

Electric bikes

Hybrid work policy

Wellness club

Prayer room

Lactation room

Themed villages

Resumo da oferta

Natixis in Portugal is seeking a Python Data Engineer (French Speaker) to join its BPCE SI 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.

You will collaborate with Data Engineers, Data Scientists, Analysts, and Business Stakeholders to understand data needs, implement testing, data quality checks, and governance, and contribute to CI/CD for data pipelines.

Qualificações

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 and data pipeline design.
Experience with Google Cloud or AWS/Azure and SQL.
Hands-on data lake/warehouse, ETL/ELT concepts, data modeling.
Familiarity with Airflow and CI/CD for data pipelines.
Version control with Git and collaboration tools.
Excellent communication in French (B1) and English.

Responsabilidades

Design, develop, and maintain end-to-end data pipelines (ELT/ETL).
Build data models and schemas for data warehouse/data lake.
Develop in Python to implement transformations, orchestration, and data quality checks.
Integrate testing (UAT/QA) and ensure release-ready pipelines.
Collaborate with Data Engineers, Scientists, Analysts, and Stakeholders.
Implement data quality, monitoring, logging, and alerting.
Ensure data governance, security and privacy controls.
Create technical docs, dictionaries, runbooks, and test plans.

Conhecimentos

Python development

Data pipelines

SQL

Airflow/Cloud Composer

Data warehousing

CI/CD for data pipelines

Data modeling

Git

Formação académica

Bachelor's in CS/Engineering/Math

Ferramentas

GCP (BigQuery, Cloud Storage, Dataflow/Beam)

Airflow/Cloud Composer

Dataproc

Cloud IAM / security practices

Descrição da oferta de emprego

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 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) / AWS or Azure.
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.