DevOps/Data Engineer

<p dir="ltr">Rise Up is a <strong>leading European learning software</strong> 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.</p><p dir="ltr">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.</p><p dir="ltr">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.</p><p dir="ltr"></p><p dir="ltr"><strong>Why join Rise Up?</strong></p><ul> <li>A<strong> continuously growing </strong>environment since our inception: By joining Rise Up, you become part of an ambitious and innovation-driven company.</li> <li>Our <strong>multicultural team</strong> offers a global perspective: You will thrive in an international environment that values diverse talents and viewpoints.</li> <li>A structured <strong>onboarding program </strong>to ensure your successful integration into our team.</li> <li><strong>Impact</strong>: You will help transform how millions of people develop professionally while enriching your own skills in a collaborative and supportive environment.</li> </ul><p></p><p>📢 <em><strong>About the Role:</strong></em></p><p><strong>Data Stack Management &amp; Evolution (50%)</strong>:</p><ul> <li>Maintain, optimize, and scale Databricks (Spark, Delta Lake)</li> <li>Optimize SQL queries and datasets for client reporting (Metabase)</li> <li>Improve the data pipeline: MySQL → S3 → Databricks via Airbyte</li> <li>Manage data modeling and governance</li> <li>Collaborate with Product, DevOps, and Data teams to create high-performance datasets</li> </ul><p><strong>DevOps &amp; Monitoring (50%)</strong>:</p><ul> <li>Oversee and reduce Databricks costs through detailed log analysis</li> <li>Implement best practices in DataOps (CI/CD, monitoring, tuning)</li> <li>Ensure the reliability and maintenance of data pipelines</li> <li>Work with AWS and Azure in collaboration with the DevOps team</li> <li>Set up technical documentation and knowledge sharing</li> </ul><p><strong>Artificial Intelligence &amp; Predictive (Phase 2)</strong>:</p><ul> <li>Utilize Databricks' AI features for predictive analysis</li> <li>Work with the Data Science team on advanced use cases</li> </ul><p><strong>Technical stack and tools:</strong></p><ul> <li>Databricks (Spark, Delta Lake) – Expertise required</li> <li>Airbyte for ETL</li> <li>MySQL → S3 → Databricks</li> <li>Metabase for data visualization</li> <li>AWS &amp; Azure</li> <li>Advanced SQL – Key skill</li> <li>DataOps experience (CI/CD, Monitoring, Optimization)</li> </ul><p></p><ul> </ul><p>💡 <em><strong>What you'll bring to the Team:</strong></em></p><ul> <li>5+ years in Data Engineering, with expertise in Databricks and/or Spark</li> <li>SQL expertise: Ability to optimize queries for high volume</li> <li>Advanced proficiency in Spark &amp; Databricks (Delta Lake, optimizations, cost, scalability)</li> <li>DevOps / DataOps culture: monitoring, cost control, automation</li> <li>Analytical and performance optimization skills</li> <li>Experience with reporting and BI (Metabase or similar)</li> <li>Good communication skills to work with Product and DevOps teams</li> <li>English is mandatory - French is a plus</li> </ul>