About this role
Senior Data Engineer (Databricks)
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Insights and Data
Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.
Your Tasks
- Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
- Design, build, and enhance data pipelines with Python and cloud-native tools.
- Work closely with solution architects to define and uphold best practices in data engineering.
- Ensure data consistency, security, and scalability within cloud-based environments.
Your Profile
- Strong experience in data engineering, with at least 1 year of hands-on Databricks expertise.
- Strong experience in Python for automation and data transformation.
- Experience working with at least one major cloud platform (AWS, Azure, or GCP).
- Strong communication skills and strong English language skills.
Nice to have
- Solid understanding of SQL with experience in query optimization and data modeling.
- Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).
- Experience with real-time data streaming technologies such as Kafka or Spark Streaming.
- Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse.
- Hands-on experience with PySpark for distributed data processing.
- Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications.
What You'll love about working here
Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
Access to over 70 training tracks wi