Senior Data Engineer

Embark on a Transformative Career Journey as a Senior Data Engineer at Lear Corporation

Are you a passionate and skilled data professional seeking an opportunity to drive innovation in the automotive industry? Lear Corporation, a global leader in Seating and E-Systems, is looking for a dedicated Senior Data Engineer to join their Industry 4.0 Center of Excellence (CoE) at their Coventry Plant in the UK. This role offers a unique chance to be at the forefront of technological advancements, contributing to the creation of smarter, safer, and more comfortable in-vehicle experiences.

Lear's philosophy, "Lear For You," underscores their commitment to their employees. They champion their teams, fostering a culture of collaboration, inclusion, respect, and excellence. This is more than just a job; it's a pathway to a better career, a better future, and a better you. With a proven track record of groundbreaking technologies, flawless manufacturing, and consistent recognition as one of the World's Most Admired Companies, Lear provides a stable and dynamic environment for growth.

The Industry 4.0 strategy at Lear is a testament to their forward-thinking approach, integrating intelligent digital technologies and analytical systems into their manufacturing processes. As a Senior Data Engineer, you will play a pivotal role in this strategy, collaborating with operational experts and data scientists to develop robust data pipelines, ensuring their security, reliability, and efficiency. You'll be instrumental in supporting Industry 4.0 projects and the seamless rollout of critical initiatives.

Advantages for Aspiring Candidates:

• Impactful Work: Contribute directly to Lear's cutting-edge Industry 4.0 initiatives, shaping the future of automotive technology.
• Career Advancement: This role provides a clear path for professional development, offering exposure to a wide range of data challenges and advanced technologies.
• Collaborative Environment: Work within empowered, inventive, and inclusive teams that are passionate about their craft and driven by success.
• Global Reach: Be part of a diverse, international team operating in 39 countries, with opportunities to engage with colleagues across different regions.
• Commitment to Excellence: Join a company renowned for innovation, operational excellence, and sustainability, consistently recognized among the World's Most Admired Companies.
• Comprehensive Benefits: Lear offers an attractive compensation package, including a Group Personal Pension, hybrid working arrangements, core hours, generous annual leave, life cover, private medical insurance, and an electric vehicle salary sacrifice scheme.

Key Considerations for Your Career Path:

• Project Lifecycle Involvement: You will manage data-focused projects from conception through to solution deployment, gaining end-to-end project experience.
• Data Wrangling Expertise: The role requires generating large databases from diverse sources and transforming big data into manageable datasets, honing your skills in data manipulation and mining.
• Cross-Functional Collaboration: Expect to work closely with business stakeholders, operational teams, and data scientists, translating complex technical data into understandable insights and actionable recommendations.
• Technological Versatility: You will leverage a range of programming languages and work with both new and legacy technologies, integrating disparate data feeds and creating scalable datasets.
• Quality and Compliance: A strong focus on ensuring documentation and procedures align with internal practices and regulatory requirements (e.g., Sarbanes Oxley) is essential.
• Performance Optimization: A key aspect of the role involves optimizing system performance for all deployed resources.

Qualifications and Skills:

Lear is seeking candidates with a Bachelor’s degree in Computer Science, Electronics, or Systems/Software Engineering, coupled with strong business analysis and requirements analysis skills within an Agile framework. Preferred qualifications include extensive experience in multinational organizations, data engineering within high-volume manufacturing, and experience with data for Machine Learning (ML) purposes.

Expert knowledge of data warehousing/relational databases, Python (especially PySpark), data mining tools, cloud-based data platforms, and data lineage/transformation activities are crucial. Proven experience in developing data pipelines and ETL processes from disparate data sources is a must.

This is an exceptional opportunity to join a leading automotive technology company and significantly contribute to its innovative Industry 4.0 journey. If you are ready to take your career to the next level and be part of a team that truly values its people, we encourage you to explore this exciting role.