Data Engineer

Summary

Michelin is a leading company in tire manufacturing, seeking a Data Engineer to build, develop, maintain and support data and analytics systems. The role involves developing scalable data systems, automating data processes, and collaborating with various teams to ensure data quality and compliance.

Responsibilities

• Develop, build, maintain, and support scalable data systems and pipelines that enable reliable analytics and reporting
• Collect data from different sources and automate its ingestion, cleaning, structuring, and enrichment for business use
• Analyze needs expressed by key business resources and document solutions that align with the Michelin Group's requirements in terms of security, reliability, and confidentiality
• Ensures data quality, performance, security, and compliance with data governance guidelines
• Collaborate with data analysts, business analysts, and data scientists to understand requirements, and deliver effective design solutions
• Deploy and optimize data pipelines to ensure efficient, secure, and consistent data flow aligned with architectural standards
• Diagnose and resolve data issues and provide technical support to data teams to ensure smooth operations

Skills

• Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs
• Ability to set priorities, work independently, and consistently deliver results with minimal direction
• Proven success working across teams, with the ability to clearly communicate in diverse, multi-functional environments
• Skilled at analyzing data, identifying patterns, and ensuring a high level of accuracy and attention to detail in all work
• BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or equivalent experience, is preferred
• Proficiency in the use of OSI or AVEVA PI systems is a plus

Qualifications

Must Haves

• Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. This can include internship, Co-op, apprentices, military service, or similar programs
• Ability to set priorities, work independently, and consistently deliver results with minimal direction
• Proven success working across teams, with the ability to clearly communicate in diverse, multi-functional environments
• Skilled at analyzing data, identifying patterns, and ensuring a high level of accuracy and attention to detail in all work

Nice to Haves

• BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or equivalent experience, is preferred
• Proficiency in the use of OSI or AVEVA PI systems is a plus

Benefits

• Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
• Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.
• Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
• Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.