Natixis in Portugal

Banking

PythonDataEngineer(FrenchSpeaker)

Lisbon, Lisbon, Portugal FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Python Data Engineer (French Speaker) at Natixis in Portugal. Skills: Python, Data pipelines, Data modeling, SQL, Cloud platforms (GCP/AWS/Azure). Design, develop, and maintain end-to-end data pipelines (ELT/ETL). Ingest, process, and store large volumes of data from diverse sources”

What You'll Achieve.

Enable data-driven decision making

Industry & Context.

Banking
Problems you'll solve

Excellent problem-solving

Eligibility Requirements

French Speaker (B1 level required)

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience), 3+ years of professional data engineering experience, Python development skills (design patterns, testing, packaging, performance considerations), Experience with Google Cloud Platform (BigQuery, Cloud Storage, Datafloweam, 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, Good communication skills in French (+B1 level required) and English

Nice to Have

experience with Control-M or other job orchestration, familiarity with CI/CD for data pipelines, Exposure to testing practices: UAT, QA testing, test planning, data validations, and test automation is highly desirable

What You'll Do.

and maintain end-to-end data pipelines (ELT/ETL)

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

and data quality checks

Integrate testing into the data engineering lifecycle

Leverage and/or implement data quality

Ensure data governance

and compliance requirements are met

Create and maintain technical documentation

How You'll Work.

Team & Collaboration

Collaborate with Data Engineers, Data Scientists, Analysts, and Business Stakeholders; Participate in code reviews; Participate in Agile/Scrum ceremonies; Collaborative mindset with the ability to explain complex technical concepts to non-technical stakeholders

Communication Scope

Good communication skills in French (+B1 level required) and English; Ability to explain complex technical concepts to non-technical stakeholders

Full Job 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. Natixis in Portugal is currently seeking a Python 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). * 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 ens

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