Define and pilot the data strategy on Google Cloud Platform, bringing technical leadership to the data team and collaborating with BI, Data Science, and AI teams
Job Summary
Define and pilot the data strategy on Google Cloud Platform, bringing technical leadership to the data team and collaborating with BI, Data Science, and AI teams.
Design scalable ETL/ELT pipelines, transforming raw data into reliable datasets, and accompany the development of AI solutions to improve data access.
Contribute to the development and maintenance of the Data architecture roadmap, aligned with Group standards and business needs, while ensuring a high level of quality in architecture and code.
Matching Summary
Define and pilot the data strategy on Google Cloud Platform, bringing technical leadership to the data team and collaborating with BI, Data Science, and AI teams.
Skills & Requirements
Must-have
Google Cloud Platform services
ETL/ELT pipeline design
SQL and data modeling
Python for data processing
Data Lake / Data Warehouse concepts
Nice-to-have
AI and generative AI solutions
Real-time reporting support
Data governance framework
Key Requirements
Minimum 3 years of experience on Google Cloud Platform
Engineering or Master's degree in Computer Science, Data Engineering, or Cloud Architecture