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We are seeking a hands-on Data Engineer with 3–5 years of experience to build and support modern Supply Chain data products using Databricks, SQL/Python, and SAP data. The role will focus on data pipelines, analytics, and reporting across Purchasing, Inventory, Production Planning, and Logistics.
Responsibilities:
Work closely with the Data Engineering Manager to understand requirements and deliver assigned backlog items.
Build and maintain ELT pipelines and data models in Databricks using Delta Lake and dbt.
Ingest and harmonize SAP data (MM, IM, PP, LE) for analytics and reporting use cases.
Develop KPI datasets and dashboards related to supplier performance, inventory health, production schedules, and logistics visibility.
Perform data analysis to support Supply Chain decision-making.
Prepare ML-ready datasets and support Data Science teams with feature creation.
Support basic AI/ML and Agentic AI initiatives (data preparation, monitoring, automation support).
Ensure data quality checks, documentation, and adherence to data governance standards.
What your background should look like:
Qualifications:
Bachelor’s degree in Computer Science, Data Engineering, Analytics, or related field.
3–5 years of experience in Data Engineering or Analytics roles.
Strong hands-on experience with Databricks, SQL, Python.
Experience working with SAP data (MM, IM, PP, Logistics).
Experience with Power BI or Tableau.
Preferred:
Exposure to MLflow, feature stores, or ML pipelines.
Basic understanding of AI/ML or GenAI concepts.
Agile/Scrum working experience.
Competencies
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE 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:
680 E. Swedesford Road
Suite 100 and 200
Wayne, Pennsylvania 19087
United States
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