GCP Data Engineer: BigQuery & ETL Pipelines (Hybrid, Portugal)

Natixis in Portugal; Porto; Hybrid; EUR 52,000 - 76,000; Full time

Benefits offered by this job

Hybrid Work Policy

Wellbeing programs

Green Transportation Budget

Job summary

Natixis in Portugal is seeking Google Cloud Platform (GCP) Data Engineers to join its BPCE SI team, hybrid in Porto or Lisbon office. You will design, build, and optimize data migration pipelines on GCP, with a focus on BigQuery and ETL/ELT processes.

The role requires strong SQL and Python skills, experience with Cloud Composer or Apache Airflow, and clear English communication. We value autonomy, rigor, and collaboration within a flexible hybrid work environment.

Qualifications

• Strong knowledge of Google Cloud Platform (GCP) including BigQuery and Dataflow.
• Expert SQL proficiency with ability to optimize for BigQuery.
• Experience migrating databases from on-prem SQL Server to cloud.
• Proficient Python scripting for migration and automation.
• Clear communication in English (B2 level).

Responsibilities

• Participate in data and ETL process migration from SQL Server to GCP.
• Design, develop, and maintain ETL/ELT pipelines on GCP (BigQuery).
• Orchestrate pipelines with Cloud Composer or Airflow.
• Develop optimized data schemas and queries for BigQuery.
• Collaborate with SQL Server admins, analysts, and data scientists.
• Ensure data quality, monitoring, and incident resolution during migration.

Skills

GCP

BigQuery

Cloud Composer

Airflow

SQL

Python

Data Migration

English (B2)

Tools

BigQuery

Cloud Composer

Airflow

SQL Server

Python

Power BI

Job description

Natixis in Portugal is seeking Google Cloud Platform (GCP) Data Engineers to join its BPCE SI team, hybrid in Porto or Lisbon office. You will design, build, and optimize data migration pipelines on GCP, with a focus on BigQuery and ETL/ELT processes.

The role requires strong SQL and Python skills, experience with Cloud Composer or Apache Airflow, and clear English communication. We value autonomy, rigor, and collaboration within a flexible hybrid work environment.