Natixis in Portugal

GCP data engineer for banking services

In short

GCP Data Engineer role at Natixis in Portugal (BPCE SI / IT department), focused on migrating data and ETL processes from SQL Server to Google Cloud Platform and building BigQuery pipelines. Works hybrid in the Lisbon or Porto office, requires strong SQL and Python skills, experience orchestrating pipelines with Airflow/Cloud Composer, and B2-level English. At least 2 years of relevant experience is expected for this middle-level position.

About
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. Natixis in Portugal is currently seeking Google Cloud Platform (GCP) Data Engineers to join its BPCE SI (BPCE Solutions Informatiques) team, within the IT (Information Technologies) department, to work in a hybrid model in the Porto or Lisbon office.
Responsibilities
•Actively participate in the design and execution of the data and ETL process migration strategy from SQL Server to GCP.
•Develop and optimize scripts and pipelines for efficiently transferring and transforming data into BigQuery.
•Design, develop, and maintain robust and high-performing ETL/ELT pipelines on GCP, replacing or rebuilding existing flows.
•Orchestrate and schedule these pipelines using Google Cloud Composer (or Apache Airflow) to ensure reliable migration and operationalization.
•Develop and optimize complex SQL queries for BigQuery, taking into account the specificities of migrating from SQL Server to BigQuery (e.g., optimizing partitioning, clustering).
•Contribute to the design and implementation of optimized data schemas for BigQuery, adapted to new cloud architectures.
•Use Python to develop scripts for automating migration tasks, data transformation, and integration with other GCP services.
•Implement processes to ensure data quality and integrity during and after migration.
•Collaborate closely with current teams (SQL Server administrators, analysts) to understand the existing environment and facilitate the transition.
•Exchange with end-users (business lines, data scientists) to understand their needs and ensure the new platform meets their expectations.
•Participate in code reviews, development best practices, and testing strategies for the new platform.
•Ensure monitoring, debugging, and incident resolution related to data pipelines during the transition phase and upon production deployment.
•Stay informed about best practices for migration and the latest developments on Google Cloud Platform.
•Propose improvements and optimizations for the new Data platform on GCP.
Requirements
•Significant experience in schema design, writing complex queries (SQL), performance optimization, and cost management in a cloud context.
•Solid experience in creating, scheduling, monitoring, and debugging DAGs to orchestrate data flows, particularly for migration and integration processes.
•Excellent mastery of the SQL language.
•In-depth mastery of the Python language for developing scripts (migration, automation, data transformation) and interacting with GCP APIs.
•Experience or strong understanding of the challenges and methodologies for migrating databases from an on-premise environment (SQL Server) to a cloud environment (GCP).
•Ability to analyze existing systems (SQL Server), understand business needs, design solutions on GCP, and resolve complex problems related to migration and pipeline operation.
•Good communication skills in English (B2 level required).
•Autonomy, rigor, organizational skills, teamwork ability, technical curiosity, and the capacity to adapt to a new environment.
•We will only consider CVs in English.
Nice to have
•Experience with SQL Server is a plus, but more importantly, the ability to adapt and optimize SQL for BigQuery.
•Direct knowledge of SQL Server (architecture, T-SQL, basic administration).
•Experience with other GCP services relevant to data migration and integration (Storage, Dataflow, etc.).
•Knowledge of GCP-specific migration tools and strategies (e.g., Database Migration Service).
•Experience with data visualization tools (Power BI).
•Understanding of Data Warehousing concepts and data modeling (Data Vault).
•Experience with code versioning.
Conditions
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.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot