Sr. Data Engineer

TE Connectivity,
Saint Davids, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 153K

Job location

Remote
Saint Davids, United States of America

Tech stack

Artificial Intelligence
Data analysis
Information Engineering
Data Governance
Python
Scrum
SAP Applications
SAP NetWeaver Data Management
SQL Databases
User-Centered Design
Workflow Management Systems
Data Lake
Information Technology
Machine Learning Operations
Virtual Agents
Data Pipelines
Databricks

Job description

We 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, + 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.

Requirements

  • 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.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Benefits & conditions

  • 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., * A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

About the company

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

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