Data Engineer

Mobilisights: enabling a smarter world

Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market - at scale and in real-time. Our vision is a ‘smarter’ world where innovative applications and services leverage connected vehicle datasets, and the insights they provide, to dramatically transform and continually improve everyday lives for consumers and businesses.

Stellantis, one of the largest global car makers and the parent company of fourteen of the most iconic industry brands including Jeep, Fiat, Maserati, Peugeot, and more, has created Mobilisights, a Data-as-a-Service Business Unit, which will harness sensor and other data from millions of connected vehicles and other devices to support data products and services for a growing array of customers.

#Stellantis is becoming a #mobility #tech company with the size of a powerhouse and the soul of a startup. Mobilisights represents this vision and future. We are part of Stellantis – a global company with 300,000 employees and will fully leverage the resources and the benefits that provides, but we are built like a startup and operate like one, too.

Great mobility solutions start with great people! This is an exciting time to join us. The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are truly global, we remain deeply rooted in the communities in which we operate, and our people live and work.

• Design and build a best-in‑class robust scalable data platform that can ingest, store, manage and stream massive amounts of data while simplifying its analysis and processing to enable rapid development of high-quality data products and services.
• Contribute to the implementation of a best-in‑class robust, scalable, data platform that can ingest, store, manage and stream massive amounts of data while simplifying its analysis and processing to enable rapid development of high-quality data products and services.
• Contribute to the implementation of robust low latency streaming data pipelines using state of the art streaming data technologies for preparing/curating data that will support various data as a service product.
• Participate with the team to the development of operational excellence such as ensuring error handling, restart‑ability ensuring data consistency, logging, monitoring and alerting is built into the pipeline.
• Provide on‑call support for the platform and troubleshoot any issues that arise.

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• A minimum of 8 years of experience in development and operation in production of cloud‑native data streaming systems (with an emphasis on scalability, robustness, data delivery low latency, and data privacy and quality control).
• First experience working in cloud‑native real‑time streaming data ecosystem such as Spark, Flink, Kinesis, Lambda, Kafka, EMR/EKS platform, Lakehouse platform experience in using Databricks Intelligent Platform is a plus.
• First experience in developing optimizing AWS data system architecture:
  Infrastructure as Code, integration and deployment automation, security.
• First experience in ensuring operation reliability of cloud‑native data system in production – particularly experience in deploying and monitoring AWS infrastructure using MSK, EKS/EMR clusters in production.
• First product development experience with languages like Spark‑Scala, Py‑Spark, Java is a plus.
• Experience in relational database concepts with a solid knowledge of SQL is a plus.
• Experience in building systems that monitor data losses and data quality control.
• Curiosity and passion to learn with a strong bias to action.

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal…