About the role

Senior Data Engineer

Your JobMolex is seeking a Senior Data Engineer to design, build, and sustain the data foundation that enables better decisions across our global manufacturing network. In this role, you will turn complex operational and production data into trusted, reusable data products that power analytics, AI, and continuous improvement.

Our Team

You will join the Global Operational Excellence team, collaborating with cross-functional stakeholders to implement innovative digital solutions.

What You Will Do

Ready platforms.
Making.
Define and enforce data quality, validation, and reliability standards across manufacturing data flows.
Work closely with operations, quality, and manufacturing teams to convert real production challenges into elegant, scalable data solutions.
Grade data products.
Term maintainability.
Create documentation, standards, and reusable patterns that reduce dependency on individuals and enable self-service analytics across Molex.

Who You Are (Basic Qualifications)

Required: Technical skills

Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field.
5~8 years of strong experience with SQL and analytical data modeling for complex operational datasets.
5~8 years of proficiency in Python (or equivalent) for building data engineering and transformation workflows.
5~8 years of experience developing ETL/ELT pipelines using enterprise or cloud data tools (e.g., Talend, AWS Glue, or similar).
5~8 years of hands-on experience with cloud-based data platforms such as Snowflake, Redshift, or comparable analytical warehouses.

Required: Soft skills

CET-4 or above, with good English listening, speaking, reading, and writing skills; able to communicate requirements smoothly with internal and external stakeholders.
Ability to work effectively with incomplete, noisy, or evolving manufacturing and operations data.
Strong analytical thinking, problem solving, and written communication skills.
Strong communication skills and team collaboration spirit; detail-oriented and proactive in work.

Preferred:

AI use cases.
Familiarity with manufacturing concepts such as production reporting, quality events, material movements, and operational KPIs.

What Will Put You Ahead

Proven ability to build scalable, reliable data pipelines for manufacturing.
Experience creating clean, reusable data models that power analytics and AI.
Strong understanding of operational data from systems like ERP, MES, or equipment sources.
Solving mindset with a drive for continuous improvement.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Who We Are

As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products, and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.