15 days ago
Vila Nova de Gaia, Portugal or Lisbon, PortugalSenior
Responsibilities
- Design and implement end-to-end data processes using ADF Pipelines and Databricks workflows.
- Develop and version data models for transactional and data warehouse environments.
- Build scalable and secure data solutions on Azure cloud infrastructure.
- Support schema and data migrations across multiple systems.
- Optimize ETL processes for performance, reliability, and operational efficiency.
- Test, operate, and optimize complex data flows.
Requirements
- 5+ years of experience.
- Experience designing applications and technical solutions.
- Strong knowledge of data modeling for data warehouse and transactional systems.
- Hands-on experience with Databricks, Python, and PySpark.
- Working knowledge of the Azure data engineering stack, including Azure Data Factory, Azure Data Lake, and Cosmos DB.
- Experience with DevOps practices and testing, operating, and optimizing complex data flows.
Benefits
- Flexible hybrid work policy allowing employees to work from the office or remotely and manage working hours.
- Career Acceleration Programs supporting growth, reskilling, and new skill development.
- Health and life insurance.
- Referral program with bonuses and other partnership-related fringe benefits.
- Collaborative and empowering work environment.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.