Build Databricks Lakehouse pipelines with Python and Spark at Croesus, working in a hybrid mode with two weekly office days. Support reliable data for analytics and artificial intelligence solutions across wealth management products.

As a Data Engineering Expert, you will design and optimize scalable ELT/ETL pipelines within a up-to-date Lakehouse setting. Your work will cover Medallion architecture, Unity Catalog governance, observability, and production support. You will also collaborate with Product, Innovation, Data, and Systems teams to create documented data models from business requirements.

Key Responsibilities:
Design and maintain Databricks Medallion architecture pipelines
Apply Spark distributed processing for large data volumes
Migrate existing pipelines while optimizing storage and processing




Implement orchestration, monitoring, alerting, and incident resolution
Translate requirements into reliable, documented data models

Requirements:
Minimum five years in data engineering or analytical solutions
Bachelor's degree in a related computer science or engineering field
Production experience with Databricks, Python, and Spark
Knowledge of Lakehouse, ELT/ETL, and orchestration mechanisms
Strong French proficiency for all internal meetings

Bring Databricks, Spark, governance, and production data pipeline expertise to Croesus's wealth management technology teams.
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📌 Databricks Lakehouse Data Engineer Laval
🏢 Croesus
📍 Laval