About Mobilisights
Mobilisights, a business unit of Stellantis, is building the future of connected vehicle data and real-time mobility intelligence.
With millions of connected cars and devices generating high-volume sensor data, we are creating a Data-as-a-Service (DaaS) platform that powers innovative applications for consumers, enterprises, and mobility ecosystems worldwide.
We operate with the scale of one of the world's largest automotive groups-Stellantis (Jeep, Fiat, Maserati, Peugeot, and more)-and the mindset of a startup. That means rapid innovation, cloud-native engineering, and real-time data at massive scale.
We are building the foundation of a smarter world powered by streaming, real-time, cloud-based data platforms.
Role Overview - Data Engineer (Streaming / Cloud / Big Data)
We are looking for a Senior Data Engineer with strong experience building and operating large-scale, cloud-native, real-time data streaming systems.
In this role, you will design and build the core data infrastructure that powers Mobilisights' data products-handling massive, real-time vehicle and IoT data streams with a focus on scalability, reliability, and low latency.
This is a hands-on engineering role focused on data platforms, streaming pipelines, AWS cloud architecture, and production-grade data systems.
Key Responsibilities
Data Platform & Architecture
* Design and build a scalable, cloud-native data platform capable of ingesting, storing, processing, and streaming massive real-time datasets
* Architect systems that support high-volume sensor data ingestion and near real-time processing
* Enable fast and reliable development of data products and analytics services
Streaming Data Engineering
Build and maintain real-time streaming data pipelines
Implement data processing workflows using modern streaming technologies such as:
Apache Kafka
Apache Spark / PySpark
Apache Flink
AWS Kinesis
Ensure low-latency, high-throughput data delivery for downstream applications
Cloud Engineering (AWS Focus)
Develop and optimize AWS-based data architectures
Work with services such as:
AWS EMR
AWS EKS
AWS Lambda
AWS MSK (Managed Kafka)
Implement Infrastructure as Code (IaC) and automated deployment pipelines
Support secure, scalable, and production-ready cloud infrastructure
Data Reliability & Operations
Ensure data consistency, reliability, and fault tolerance across pipelines
Build and maintain:
Monitoring systems
Logging frameworks
Alerting and observability tools
Implement data quality checks and data loss detection mechanisms
Participate in on-call production support and incident troubleshooting
Engineering Excellence
Contribute to operational best practices including:
Restartability of pipelines
Error handling strategies
System resilience and recovery
Work closely with cross-functional teams to deliver production-grade data system
Basic Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
A minimum of 8 years of experience in software engineering or data engineering roles
Strong experience building and operating cloud-native, production-grade data streaming systems
Hands-on experience with real-time data architectures emphasizing:
Scalability
Low latency
High availability
Data quality and privacy
Required or strong experience with:
Streaming & big data technologies: Kafka, Spark, Flink, Kinesis
Cloud platforms: AWS (EMR, EKS, Lambda, MSK)
Data processing frameworks: Spark / PySpark
Data architecture concepts: data lakes / lakehouse (Databricks experience a plus)
SQL and relational database fundamentals
Infrastructure as Code (Terraform or similar preferred)
CI/CD and deployment automation in cloud environments
Preferred Qualifications:
Experience with Databricks Lakehouse Platform
Programming experience in Scala, Java, or Python
Experience building data observability, monitoring, and data quality frameworks
Experience in high-scale IoT, automotive, or sensor-based data systems
Mindset & Soft Skills:
Curiosity and passion for learning new technologies
Strong bias toward action and problem solving
Ability to operate in a fast-moving, startup-like environment within a large global organization
Strong ownership mindset with ability to support production systems
High Level Edits:
Reorganized into standard job posting structure (co overview, role overview, responsibilities, qualifications, technical skills, nice to have)
Optimized for job search visibility
Clarified the role into a more "real job description"
Shifted from marketing heavy language to candidate relevant messaging
Improved scan ability and readability
Standardized technical expectations
Aligned seniority and expectations (this is a senior data engineer role minimum of 8 years)
Expanded keywords that ATS systems and recruiters filters for
About Mobilisights
Mobilisights, a business unit of Stellantis, is building the future of connected vehicle data and real-time mobility intelligence.
With millions of connected cars and devices generating high-volume sensor data, we are creating a Data-as-a-Service (DaaS) platform that powers innovative applications for consumers, enterprises, and mobility ecosystems worldwide.
We operate with the scale of one of the world's largest automotive groups-Stellantis (Jeep, Fiat, Maserati, Peugeot, and more)-and the mindset of a startup. That means rapid innovation, cloud-native engineering, and real-time data at massive scale.
We are building the foundation of a smarter world powered by streaming, real-time, cloud-based data platforms.
Role Overview - Data Engineer (Streaming / Cloud / Big Data)
We are looking for a Senior Data Engineer with strong experience building and operating large-scale, cloud-native, real-time data streaming systems.
In this... For full info follow application link.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
