30 days ago
Remote, EMEAMid Level
Responsibilities
- Build and design data platforms supporting AI, automation, and advanced analytics.
- Connect data sources and build ETL/ELT processes, automated data flows, and pipelines.
- Design and implement scalable data architectures in Azure or AWS.
- Ensure data is accurate, complete, and consistent.
- Collaborate closely with customers and colleagues on data-domain delivery engagements.
Requirements
- Experience working with data platforms such as MS Fabric, Azure, AWS, Snowflake, and Databricks.
- Understanding of end-to-end data flows from source to consumer.
- Interest or experience in designing data architectures and modeling data for AI, analytics, and automation.
- Experience with SQL, ETL, data modeling, Python, and CI/CD pipelines.
- Interest in AI and LLM models is desirable.
- Experience or interest in IoT solutions and DevOps/infrastructure as code is advantageous.
- Certifications in Azure Data Platform, AWS, GCP, or Databricks are advantageous.
Benefits
- Opportunities to work with current technologies in an innovative and dynamic team.
- Career development programs and certifications in current technologies.
- Remote-work opportunities and flexible working hours.
- Collaboration with colleagues across Sogeti and close cooperation with customers.
- The role is based at the delivery center in Östersund and is often performed remotely from the center.
- Identity verification is part of the recruitment process, and background checks may be performed when needed.
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.