About the role
About The Company Stellantis is a global leader in mobility, dedicated to developing innovative solutions that are clean, connected, affordable, and safe. As a forward-thinking organization, Stellantis is committed to transforming into a technology-driven enterprise by leveraging cutting-edge strategies in software, data, and artificial intelligence. The company values diversity and the expertise of its teams, fostering an inclusive environment that promotes innovation and excellence. With a strong focus on sustainability and technological advancement, Stellantis strives to shape the future of mobility and deliver exceptional value to its customers worldwide.
About The Role We are seeking a highly skilled and experienced Data & AI Engineer to join our AI & Data Analytics team. This role involves providing technical leadership across multiple teams, designing and evolving cloud-native applications on AWS, and ensuring the seamless integration of data systems. The successful candidate will be responsible for developing scalable and secure cloud architectures, building full-stack applications using Python and Java, and mentoring team members. This position requires close collaboration with technical management, product teams, and platform teams to define long-term technical strategies and ensure alignment with business objectives. The ideal candidate will have a strong background in data engineering, cloud architecture, and software development, with a passion for innovation and continuous improvement.
Qualifications
- Bac+5 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 production application maintenance and development
- Proven expertise in relational and analytical databases
- Hands-on experience with AWS services (2-4 years)
- Experience with Big Data platforms such as Spark, BigQuery, AWS S3, etc.
- Knowledge of orchestration tools like Airflow, Luigi, or Azure Data Factory
- Experience designing real-time data pipelines
- Proficiency in data quality and validation processes
- Experience in API design and development
- Technical skills in Python and Java programming languages
- Knowledge of streaming architectures and event-driven systems (Kafka, Flink)
- Familiarity with containerization tools such as Docker
- Knowledge of Terraform (preferred)
- Experience with Databricks (preferred)
- AWS or equivalent cloud certification (preferred)
Responsibilities
- Design and implement scalable, secure, and resilient AWS cloud systems
- Develop full-stack applications using Python and Java for backend services
- Define and enforce engineering standards and best practices across teams
- Lead architectural decisions regarding compute, storage, networking, and security on cloud platforms
- Create and maintain REST APIs and event-driven services
- 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 and perform root cause analyses
- Contribute to roadmap planning and influence product and technical strategies
- Design, implement, and maintain data pipelines and ETL processes tailored to business needs
- Manage and optimize data stores, data modeling, and multidimensional architectures
- Develop and improve data quality, validation, and governance practices
- Support teams in API development, data modeling, and service design
- Promote a culture of engineering excellence, process improvement, and innovation
- Communicate effectively in an international environment, ensuring clarity and collaboration
Benefits
- Competitive salary package
- Comprehensive health and wellness benefits
- Opportunities for professional growth and development
- Participation in innovative projects shaping the future of mobility
- Collaborative and inclusive work environment
- Flexible working arrangements where applicable
- Access to cutting-edge technologies and training resources
Equal Opportunity
At Stellantis, we are committed to fostering an inclusive workplace that values diversity and equal opportunity. We welcome applications from candidates of all backgrounds, regardless of gender, age, ethnicity, nationality, religion, sexual orientation, or disability. Our goal is to build a diverse team that reflects our global customer base and drives innovation through varied perspectives and experiences. We believe that an inclusive environment enhances our ability to deliver outstanding solutions and sustain long-term success.
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