Lear Corporation

About the Company

Lear Corporation (NYSE: LEA) is a global automotive leader in Seating and E-Systems. The company designs, manufactures, and delivers advanced technologies to the world's major automakers. Building on more than 100 years of heritage, Lear is the largest U.S.-based automotive supplier, headquartered in Southfield, Michigan. Driven by a commitment to innovation, operational excellence, and sustainability, Lear's global team of talented employees is shaping the future of mobility by developing solutions that enhance comfort, safety, and efficiency. More information is available at Lear.com.

Listed Jobs

Company Name

Lear Corporation

Job Title

Full Stack Developer

Job Description

Coventry, United kingdom

On site

Junior

25-09-2025

Company Name

Lear Corporation

Job Title

Senior Data Engineer

Job Description

**Job Title:** Senior Data Engineer **Role Summary:** Design, build, and maintain robust data pipelines and analytics infrastructure to support Industry 4.0 initiatives and data‑driven decision making. Collaborate with data scientists, business analysts, and cross‑functional teams to transform raw data into actionable insights, ensuring security, reliability, and performance across high‑volume manufacturing operations. **Expectations:** - Deliver scalable, secure, and efficient data pipelines that meet regulatory and internal governance standards (e.g., ITPM, Sarbanes‑Oxley). - Enable data scientists to train ML models by providing clean, high‑quality datasets. - Serve as a technical lead on data‑focused projects, from concept through deployment and continuous improvement. - Communicate complex data concepts to non‑technical stakeholders, translating analysis into clear recommendations. **Key Responsibilities:** - Lead execution of data‑centric projects within the EU&AF AME team, coordinating with stakeholders across regions. - Create and maintain user‑facing analytical tools for regional standard deployment, facilitating senior management insights. - Extract, transform, and load (ETL) large structured and unstructured datasets from diverse sources. - Employ programming languages (Python, PySpark) to convert big data into manageable, query‑ready formats. - Perform root‑cause analysis and provide actionable conclusions to support product and program delivery phases. - Integrate legacy and new technologies, ensuring seamless data feed consolidation and scalability. - Document procedures, data lineage, and quality controls, adhering to internal standards and compliance requirements. - Continuously optimize system performance and resource utilization across deployed data solutions. **Required Skills:** - Expertise in data warehousing and relational database design. - Advanced proficiency in Python and PySpark for large‑scale data processing. - Experience with cloud‑based data platforms (e.g., AWS, Azure, GCP). - Knowledge of data mining techniques and data quality analysis. - Understanding of data lineage, transformation, and metadata management. - Strong business analysis and requirements elicitation skills. - Ability to work effectively in Agile environments. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electronics, Systems Engineering, or Software Engineering. ---

Coventry, United kingdom

Hybrid

Senior

29-09-2025