Industry 4.0 Data Engineer

Rabat R&D Center Technopolis

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 19,000 diverse & talented team members.

Lear Morocco has been certified as a Top Employer for for the third 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 be working with colleagues focused on understanding the operational Use Cases and Data scientists using ML models to deliver solutions to support business decisions. As a data engineer you will be responsible for the development of the data pipelines, their security, reliability and efficiency; supporting industry 4.0 projects and the rollout of activities that are identified.

Key Responsibilities:

• Manage the execution of data-focused projects using Lear’s data analytics and application platform as a member of the EU&AF AME team.


• Participate in multiple projects from conception to root cause analytics and solution deployment.


• Support the creation of a user toolset to be deployed as a regional standard across Lear for analyzing and presenting data effectively to senior management.


• Generate large databases from various sources of both structured and unstructured data.


• Utilize a range of programming languages to transform big data into manageable datasets.


• Translate technical data into understandable insights, providing recommendations and conclusions to stakeholders.


• Understand program and product delivery phases, contributing expert analysis across the lifecycle.


• Work with both new and legacy technologies to integrate separate data feeds and transform them into new scalable datasets.


• Ensure documentation and procedures align with internal practices (ITPM) and Sarbanes Oxley requirements, continuously improving them.


• Optimize system performance for all deployed resources.

Key skills and Qualifications:

Required:

• Bachelor’s degree qualification in Computer Science, Electronics or Systems / Software Engineering.


• Experience working as part of an integrated data team.


• Strong business analysis/requirements analysis skills.


• Business Analysis.


• Working within an Agile framework.


• Proficiency in English language, spoken and written

Preferred:

• 2- 5 years’ experience of working within a multinational organization with international, cross functional teams.


• 2- 5 years’ experience of working within data engineering or optimization to support a high volume manufacturing operation.


• Master’s degree in Computer Science, Systems, or comparable Electronic Discipline.


• Experience working with data for ML purposes.

Key Skills:

• Expert level of knowledge of data warehousing and/or relational databases.


• High Level of knowledge of operating with Python and preferably PySpark Platforms.


• Experience in data mining methods and data tools


• Experience with cloud-based data platforms.


• Knowledge of applying data lineage, transformation and quality analysis activities.


• Competent to reach into data sources to create new data extraction interfaces.


• Proven experience developing data pipelines and ETL processes from disparate data sources.

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.