Data Engineer

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments.

We at Freudenberg-NOK Sealing Technologies run the business operations of Freudenberg Sealing Technologies (FST) in the Americas. Being part of the global Freudenberg Group, our company is a leading producer of advanced sealing technologies for automotive and general industries. Freudenberg-NOK Sealing Technologies is a joint venture between Freudenberg and NOK Corp. in Japan, is headquartered in Plymouth, MI, operates more than 20 facilities and employs about 4,700 people across the Americas.

Some of your Benefits

401K Match: Save for retirement with the company's help.

Health Insurance: Rely on comprehensive services whenever you need it.

Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement.

Vacation: We offer time off to refresh and recharge.

Paid Holidays: With paid-time off, local holidays are all the way more relaxing.

Plymouth, MI

Hybrid Work

Freudenberg-NOK General Partnership

Data Engineer

Responsibilities

• Design and Build Data Pipelines: Develop, implement, and maintain robust, scalable data pipelines and ETL processes to integrate data from diverse sources.
• Cloud Data Infrastructure: Collaborate with IT and business teams to set up and optimize advanced cloud-based data infrastructure, supporting AI-driven models and analytics.
• Data Transformation & Modeling: Create algorithms and data models to convert raw data into actionable insights, aligning with business objectives.
• Data Quality & Security: Ensure data integrity, quality, and security across all systems, implementing validation, backup, recovery, and disaster recovery plans.
• Pipeline Optimization: Continuously evaluate and enhance data systems and processes for improved efficiency, reliability, and performance (including query tuning and indexing).
• Migration & Modernization: Lead migration of on-premises data systems to cloud solutions, focusing on Azure and modern data architectures (e.g., real-time processing, data warehousing).
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to meet organizational data needs and drive strategic data management projects
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Proficiency in Python and SQL; experience with both relational and non-relational databases (MS SQL, Azure SQL Database).
• Hands-on experience with Databricks, Azure Data Factory, and modern data warehouse tools.
• Familiarity with real-time data processing tools (e.g., Kafka, Flink) is a plus.
• Experience with CI/CD pipelines, automation for data deployments, and infrastructure as code (e.g., Terraform).
• Strong understanding of data security, backup, and recovery best practices.
• Knowledge of cloud infrastructure management, particularly on the Azure platform.
• Domain Knowledge: Experience in automotive and/or chemical data domains is a plus.
• Communication & Collaboration: Communicates clearly and concisely, while serving as a sparring partner to internal/external stakeholders. Fosters teamwork between employees and across the organization.
• Value for Customers: Drives a customer-oriented business strategy and provides indispensable support to deliver successful outcomes.
• Innovation: Envisions the impact of potential future trends and proactively drives necessary changes. Encourages creativity and initiative from employees.
• Drive & Execution: Inspires and motivates self and others, while taking full accountability for actions and results.
  
  

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.