Data Engineer - Vehicle Configuration Optimization

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.Key Responsibilities:Build and maintain data pipelines that ingest data from Snowflake into DatabricksDesign and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)Ensure pipeline health, stability, monitoring, and performance optimizationDevelop robust ETL/ELT workflows using Python and SQLCreate clean, curated datasets to support analytics, simulation, and machine learning use casesPartner closely with data scientists, analysts, and business stakeholders to understand data needsImplement data quality checks, validation processes, and governance standardsBasic Qualifications:Minimum 5 years of experience in data engineering or similar roleBachelors DegreeStrong hands-on experience with Databricks (critical requirement)Proficiency in SQL and PythonExperience building and maintaining data pipelines and ETL processesFamiliarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable)Solid understanding of data modeling and medallion architecture conceptsPreferred Qualifications:Experience with Snowflake and data lake architecturesExposure to automotive, connected vehicle, or IoT datasetsExperience with Spark / PySparkFamiliarity with pipeline orchestration and monitoring toolsUnderstanding of downstream analytics or ML use casesBrand: FCA GroupJob ID: 2019999Employment Type: Full-timeJob Area: Sales and MarketingPosted Date: 22/07/2026