5/4/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Description:
Job OverviewWe are looking for a
Senior / Lead Data Engineer with 7+ years of experience to design and drive
end-to-end Supply Chain data products using
Databricks, SAP, AI/ML, and Agentic AI technologies. This role requires strong technical leadership, stakeholder management, and ownership of data products across Purchasing, Inventory, Production Planning, and Logistics
Responsibilities:- Partner with Data Engineering and Business leaders to define product vision, roadmap, and priorities.
- Own end-to-end design and delivery of scalable ELT pipelines and data models in Databricks using Delta Lake and dbt.
- Lead SAP data integration across MM, IM, PP, and Logistics, ensuring data consistency and business alignment.
- Define and standardize Supply Chain KPIs and analytics frameworks.
- Deliver advanced insights to improve forecasting accuracy, inventory optimization, supplier performance, and logistics efficiency.
- Design and enable ML and Agentic AI solutions, including automated agents for procurement classification, lead-time prediction, exception handling, and workflow orchestration.
- Guide teams on MLflow, Feature Store usage, and production monitoring.
- Ensure strong data governance, quality, security, and controlled releases across environments.
- Mentor junior engineers and act as a technical escalation point.
Candidate Desired Profile:Qualifications- Bachelor's or Master's degree in Computer Science, Data Engineering, or Supply Chain-related field.
- 7+ years of experience in Data Engineering / Analytics roles.
- Deep expertise in Databricks, SQL, Python, dbt, Delta Lake.
- Strong hands-on experience with SAP (MM, IM, PP, Logistics) and Supply Chain processes.
- Experience leading or owning data products end-to-end.
- Strong stakeholder and cross-functional leadership skills.
Preferred- Experience with MLflow, Feature Stores, and production ML pipelines.
- Hands-on exposure to Agentic AI, GenAI, RAG, or automation frameworks.
- Experience in forecasting, optimization, or advanced analytics.
- Strong Agile / Scrum leadership experience.
CompetenciesValues: Integrity, Accountability, Inclusion, Innovation, Teamwork
COMPENSATION Competitive base salary commensurate with experience: $122,000 - $152,500 (subject to change dependent on physical location)
Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/VetsIMPORTANT NOTICE REGARDING RECRUITMENT FRAUDTE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity
never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come
only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations:#remote, Pennsylvania 19312
United States
Posting City: Wayne
Job Country: United States
Travel Required: Less than 10%
Requisition ID: 145286
Workplace Type: Remote
External Careers Page:
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