About The Company Stellantis is a global leader in mobility, dedicated to developing innovative solutions that are clean, connected, affordable, and secure. As a company committed to transformation, Stellantis is evolving into a technology-driven enterprise with a strategic focus on software, data, and artificial intelligence.
Our diverse and highly skilled teams are integral to pioneering advancements in the automotive industry, ensuring we stay at the forefront of sustainable and intelligent mobility solutions. With a strong emphasis on innovation, we aim to shape the future of transportation by integrating cutting-edge technologies and fostering an inclusive work environment that values diversity and expertise.
About The Role We are seeking a highly skilled and experienced Data & AI Engineer to join our AI & Data Analytics team. This leadership role involves guiding multiple teams through technical excellence while designing and evolving cloud-native applications on AWS.
The successful candidate will be responsible for developing scalable, secure, and resilient AWS systems, as well as creating full-stack applications using Python and Java. This role requires a blend of operational development, system design, architectural decision-making, and mentorship, working closely with technical management, product teams, and platform teams to define and implement long-term technical strategies. The position offers an exciting opportunity to influence both product and technical roadmaps, contribute to innovative data solutions, and drive best practices in engineering within a dynamic international environment.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (preferred)
- 3 to 5 years of experience in data engineering and software development
- 2 to 4 years of experience in developing and maintaining production data applications
- Proven expertise with relational and analytical databases
- Experience working with AWS cloud services (EC2, S3, Lambda, etc.) for 2 to 4 years
- Hands-on experience with Big Data platforms such as Spark, BigQuery, and AWS S3
- Familiarity with orchestration tools like Airflow, Luigi, or Azure Data Factory
- Knowledge of real-time pipeline design and data quality validation
- Proficiency in API design and development
- Technical skills in Python and Java programming languages
- Understanding of streaming architectures and event-driven systems (Kafka, Flink)
- Experience with containerization technologies such as Docker
- Knowledge of infrastructure as code tools like Terraform (preferred)
- Experience with Databricks (preferred)
- Cloud certification such as AWS Certified Solutions Architect (preferred)
Responsibilities
- Design and implement scalable, secure, and resilient AWS cloud systems tailored to project needs
- Develop full-stack applications leveraging Python and Java for backend services
- Establish and enforce engineering standards and best practices across teams
- Lead architectural decisions regarding compute, storage, networking, and security components
- Create and maintain RESTful APIs and event-driven services to support various applications
- Collaborate with front-end teams to ensure seamless integration and optimal user experience
- Conduct code and architecture reviews, providing valuable technical feedback
- Resolve complex production incidents through root cause analysis and corrective actions
- Contribute to defining project roadmaps and influence product and technical strategies
- Design, implement, and optimize data pipelines, ensuring data quality and consistency
- Manage and evolve databases, including data modeling, data stores, and multidimensional architectures
- Develop and maintain ETL processes and data services, including real-time pipelines
- Support teams in API design, data modeling, and service conception
- Promote a culture of engineering excellence, continuous improvement, and knowledge sharing
- Communicate complex technical concepts effectively within an international environment
Benefits
- Competitive salary package aligned with experience and expertise
- Health insurance coverage for employees and dependents
- Opportunities for professional development and continuous learning
- Flexible working arrangements to support work-life balance
- Participation in innovative projects shaping the future of mobility
- Inclusive and diverse work environment fostering collaboration and growth
Equal Opportunity
At Stellantis, we are committed to creating a diverse and inclusive workplace. We evaluate candidates based on their qualifications, merit, and the needs of the company. We welcome applications from individuals of all genders, ages, ethnic backgrounds, nationalities, religions, sexual orientations, and those with disabilities. Our diverse teams enable us to better serve our customers and build a sustainable future for the automotive industry.
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