GCP data engineer for banking services

Natixis in Portugal; Lisboa; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Hybrid work policy

Wellbeing initiatives

Job summary

Natixis in Portugal ищет инженера данных GCP для работы в гибридном режиме в порту или Лиссабоне; задача — миграция и конструирование конвейеров данных в BigQuery.

Кандидат будет проектировать схемы, писать сложные SQL-запросы, оптимизировать производительность и управлять затратами в облаке, используя GCP, DAGs и Python.

Требуется опыт работы с SQL Server и миграциями в облако, хороший английский (B2), автономность, целеустремленность и способность работать в команде.

Qualifications

• Опыт проектирования схем, сложные запросы SQL, оптимизация производительности и управление затратами в облаке.
• Подтверждённая способность проектировать и оптимизировать ETL/ELT конвейеры на GCP.
• Английский не ниже B2; резюме на английском языке обязательно.

Responsibilities

• Участвовать в дизайне и реализации миграции данных с SQL Server на GCP.
• Разрабатывать и оптимизировать скрипты и конвейеры для передачи и преобразования данных в BigQuery.
• Проектировать и поддерживать ETL/ELT конвейеры на GCP; заменять существующие потоки.

Skills

Schema design

Complex SQL

Python

GCP / BigQuery

ETL pipelines

DAG orchestration

Data migration

Tools

Google Cloud Composer

Apache Airflow

BigQuery

SQL Server

Power BI

GCP APIs

Job description

Описание:

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.

Задачи:

• 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.

Требования:

• 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.


• Будет плюсом: 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

Условия:

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.