Lead Data Ingénieur / Expert Databricks - Services Financiers - Nantes
Core
Lead Data Engineer driving the migration from legacy architectures to a modern Databricks/Azure data platform for a major financial client, industrializing batch and streaming pipelines, and deploying advanced use cases including BI, Machine Learning, and GenAI.
Role type
Lead Data Engineer (Cloud Data Architecture & Databricks)
Builds
Scalable cloud data architectures, high-performance data pipelines, and advanced data use cases for a large-scale data factory.
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Databricks, Apache Spark (PySpark/Scala), SQL, Python, Streaming, CI/CD, Data Quality, Cost Optimization, Technical Leadership
Preferred skills
Machine Learning / MLOps, Delta Lake, Unity Catalog, DQX, Coaching/Mentoring
Technologies
Azure, Databricks, Spark, PySpark, SQL, Python, Git, CI/CD tools
Responsibilities
Design cloud data architectures on Azure & Databricks, Develop and optimize high-performance data pipelines, Implement data best practices and DevOps standards, Mentor client teams on data transformation and knowledge transfer, Drive key technology decisions for the data platform.
Seniority
Lead, hands-on IC with strategic influence
