About the Company
Capgemini is a global leader in consulting, technology, and digital transformation, with nearly 350,000 employees across more than 50 countries. With 55 years of experience, Capgemini helps organizations unlock the full value of technology and innovation in areas such as cloud, data, artificial intelligence, connectivity, software, digital engineering, and platforms. The company fosters an inclusive, multicultural environment that values diversity, develops talent, supports social initiatives, and works to reduce environmental impact across its operations and with clients.
Joining Capgemini means becoming part of a global community of experts, where collaboration, continuous learning, and innovation shape careers and drive meaningful business outcomes.
About the Role
The Lead Data Engineer – Spark/Scala will work within the Insights & Data practice, focusing on designing and developing client data architectures, optimizing data ingestion pipelines, and coordinating development teams. The role requires technical leadership, ensuring code quality, proposing architectural improvements, and supporting continuous improvement within the team.
Engineers in this position contribute to high-impact projects across sectors such as renewable energy, transportation, AI, and data, providing opportunities to influence both technology and business outcomes.
Responsibilities
- Participate in design workshops and develop client data architectures
- Contribute to strategies for data extraction and ingestion pipelines
- Provide expertise in optimizing data workflows
- Coordinate development team activities and support skill development
- Serve as a technical reference, ensuring code quality and proposing architectural improvements
- Promote continuous improvement within the team and track performance metrics
Requirements
- Minimum of 5 years of experience in Big Data technologies and projects
- Expertise in Spark/Scala and its ecosystem, including Hadoop, HDFS, MapReduce, Hive, and Kafka
- Experience providing technical guidance and mentoring development teams is a plus
Benefits
- Work on varied and innovative projects in sustainable and technological sectors
- Continuous learning opportunities, including access to GenAI Campus, technical certifications (SAP, Databricks, Agile), and training platforms
- Participation in conferences and partner events (AWS, Snowflake, SAP)
- Inclusive, multicultural, and accessible work environment
- Opportunities to contribute to social and environmental initiatives