19 days ago
Katowice, PolandMid Level
Responsibilities
- Support and develop data solutions within a Google Cloud Platform cloud-native architecture.
- Develop and maintain data pipelines and workflows using Cloud Composer and Apache Airflow.
- Manage and optimize data storage and processing with Cloud Storage and BigQuery.
- Improve deployment, monitoring, and scaling processes for data applications.
- Support troubleshooting and operational maintenance of cloud-based data services.
- Collaborate with cross-functional teams and clients.
Requirements
- Proven experience as a Data Engineer or Cloud Engineer.
- Hands-on experience with Google Cloud Platform, including Cloud Composer, Apache Airflow, BigQuery, and Cloud Storage.
- Strong understanding of cloud-based architectures and data pipelines.
- Experience working with modern distributed data systems.
- Strong communication and collaboration skills.
- Exposure to AI-driven solutions is a strong asset.
Benefits
- Medical care through Medicover, private life insurance, a Sports card, and access to the Capgemini Helpline for therapeutic support.
- Access to more than 70 training tracks with certification opportunities through the NEXT platform.
- Free access to Education First, TED Talks, and Udemy Business learning materials and training.
- Continuous feedback and performance discussions supported by the GetSuccess performance management tool.
- Hybrid working after onboarding, with office and work-from-home options.
- Home office package including a laptop, monitor, and chair.
Tech Stack
Categories
Data Engineering
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.