Rise Up is a leading European learning software provider, pioneering Blended Learning with a fast-growing presence across the continent. With offices in Paris, London, and Lisbon, our team of 120 talented individuals is shaping the future of professional development.
At Rise Up, we bridge cutting-edge technology and learning expertise to help organizations and their teams continuously develop the skills they need to thrive in a rapidly evolving world.
With 5 million learners across 73 countries, we are transforming professional training through an innovative platform that seamlessly blends digital and in-person learning. Designed for employees, powered by technology, and focused on performance, our solution drives organizational transformation through personalized and engaging learning experiences.
Why join Rise Up?
- A continuously growing environment since our inception: By joining Rise Up, you become part of an ambitious and innovation-driven company.
- Our multicultural team offers a global perspective: You will thrive in an international environment that values diverse talents and viewpoints.
- A structured onboarding program to ensure your successful integration into our team.
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Impact: You will help transform how millions of people develop professionally while enriching your own skills in a collaborative and supportive environment.
📢 About the Role:
Data Stack Management & Evolution (50%):
- Maintain, optimize, and scale Databricks (Spark, Delta Lake)
- Optimize SQL queries and datasets for client reporting (Metabase)
- Improve the data pipeline: MySQL → S3 → Databricks via Airbyte
- Manage data modeling and governance
- Collaborate with Product, DevOps, and Data teams to create high-performance datasets
DevOps & Monitoring (50%):
- Oversee and reduce Databricks costs through detailed log analysis
- Implement best practices in DataOps (CI/CD, monitoring, tuning)
- Ensure the reliability and maintenance of data pipelines
- Work with AWS and Azure in collaboration with the DevOps team
- Set up technical documentation and knowledge sharing
Artificial Intelligence & Predictive (Phase 2):
- Utilize Databricks' AI features for predictive analysis
- Work with the Data Science team on advanced use cases
Technical stack and tools:
- Databricks (Spark, Delta Lake) – Expertise required
- Airbyte for ETL
- MySQL → S3 → Databricks
- Metabase for data visualization
- AWS & Azure
- Advanced SQL – Key skill
- DataOps experience (CI/CD, Monitoring, Optimization)
💡 What you'll bring to the Team:
- 5+ years in Data Engineering, with expertise in Databricks and/or Spark
- SQL expertise: Ability to optimize queries for high volume
- Advanced proficiency in Spark & Databricks (Delta Lake, optimizations, cost, scalability)
- DevOps / DataOps culture: monitoring, cost control, automation
- Analytical and performance optimization skills
- Experience with reporting and BI (Metabase or similar)
- Good communication skills to work with Product and DevOps teams
- English is mandatory - French is a plus
