Industry 4.0 Data Engineer

Data Engineer

Rabat Technopolis R&D Center

Driving the future of automotive. We’re Lear For You.

Company Overview

Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Our diverse team of more than 165,000 talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks #186 on the Fortune 500. Further information about Lear is available at lear.com, or follow us on Twitter @LearCorporation

Lear has been operating in Morocco since 2003, offering a wide range of products and demonstrating strong expertise in electrical distribution systems, electronics, surface materials, and seating JIT(Just-in-Time).  With its 17 cutting-edge production and engineering sites located in Rabat, Tangier, Kenitra, and Meknes, Lear Morocco has become a major and significant player in the industry employing over 23,000 diverse & talented team members.

Lear Morocco has been certified as a Top Employer for the fifth consecutive time in recognition of its unwavering commitment to operational excellence, innovation, and fostering supportive work environment.

Position overview:

As a Data Engineer, you will work with cross-functional stakeholders to understand operational use cases and deliver data solutions that support business decision-making.

You will be responsible for the development of data pipelines, ensuring their security, reliability, and efficiency, as well as the design and maintenance of scalable datasets for analytics and reporting. While your primary focus will be data engineering, you will also have opportunities to contribute to broader data projects, including work that extends into analytics, applications, or user-facing components.

Key Responsibilities:

• Design, develop, and maintain data pipelines and ingestion processes to integrate data from multiple enterprise systems
• Ensure the reliability, efficiency, and performance of data pipelines and platform components
• Develop and maintain well-structured datasets, including contributing to metadata management and semantic modelling to ensure data is clearly defined and aligned with business meaning
• Maintain data quality, lineage, and observability, ensuring datasets are trusted, traceable, and fit for use
• Manage changes to data structures and pipelines over time, including schema evolution, refactoring, and deprecation activities
• Apply data security, access control, and compliance standards, including data classification, permissions, and appropriate handling of sensitive data
• Collaborate with stakeholders (e.g. SMEs, analysts, business users) to understand requirements, support correct data usage, and contribute to data governance activities
• Support the usability and maintainability of data products through documentation, knowledge sharing, and resolution of day-to-day support queries
• Contribute to broader data initiatives or projects where required, including work that may extend beyond core data engineering responsibilities

Key skills and Qualifications:

• Master’s degree in computer science, electronics/systems/software engineering, data science, or a related technical field
• 2-5 years of experience in data engineering, data platform development, or ETL/data pipeline development

• Strong experience in Python and SQL, with exposure to distributed processing frameworks (e.g. Spark)
• Proven experience developing data pipelines and ETL processes from disparate data sources

• Experience of working within a multinational organization with international, cross functional teams

• Experience working with relational and/or large-scale datasets in enterprise environments
• Experience working in Agile environments
• Strong problem-solving skills and ability to work independently and collaboratively
• Effective communication skills to engage with both technical and non-technical stakeholders, with spoken and written English language proficiency
• Competent to reach into data sources to create new data extraction interfaces

Why Lear

We offer a fantastic place to work, opportunity to grow and being part of a company who places its people first.

What We Offer

• Competitive Salary,
• Competitive social perks including:  

• • Medical insurance
  • Social security benefits,
  • Transportation allowance,
  • Canteen in site

• Paid Vacations
• Flexible working hours,
• Access to Learning and development opportunities
• Opportunities to give back to the community
• Meaningful work that makes a difference in the world

Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.

Applicants must submit their resumes for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.