GCP Data Engineer (Python) – Hybrid + French Pro

Natixis in Portugal; Portugal; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid work policy

Green Transportation Budget

Wellbeing programs

Job summary

Natixisin Portugal is seeking a Google Cloud Platform (GCP) & Python Data Engineer (French Speaker) to join the BPCE SI team in Porto or Lisbon. You will design, build, and maintain scalable data pipelines and data platforms enabling data-driven decision making.

Responsibilities include ELT/ETL pipeline development, data modeling, testing, and collaboration with data engineers, scientists, analysts, and stakeholders.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 3+ years of professional data engineering experience.
• Experience with Google Cloud Platform services including BigQuery, Dataflow/Beam, Dataproc, Pub/Sub, Cloud Composer/Airflow.
• Proficiency in SQL and data modeling (star/snowflake schemas).
• Hands-on experience building data pipelines, data lakes or data warehouses.

Responsibilities

• Design, build, and maintain end-to-end data pipelines (ELT/ETL) to ingest, process, and store large data volumes.
• Develop data models and schemas for data warehouses/lakes.
• Implement data transformations and automation with Python; ensure data quality checks.
• Collaborate with stakeholders to understand data needs and deliver solutions.
• Apply data governance, security, and compliance requirements.

Skills

Python

SQL

Airflow

Git

BigQuery

ETL/ELT

Data modeling

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, Mathematics

Tools

Airflow/Cloud Composer

Dataproc

Cloud Pub/Sub

Job description

Natixisin Portugal is seeking a Google Cloud Platform (GCP) & Python Data Engineer (French Speaker) to join the BPCE SI team in Porto or Lisbon. You will design, build, and maintain scalable data pipelines and data platforms enabling data-driven decision making.

Responsibilities include ELT/ETL pipeline development, data modeling, testing, and collaboration with data engineers, scientists, analysts, and stakeholders.