Strategic Logistics Data Engineer: TMS, BI & Cloud Analytics

Volvo Car Germany GmbH; Ridgeville (SC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Tax-advantaged savings accounts

Wellness program with discounts and a

Parental leave program

Volvo Employee Lease Program (VELP)

Job summary

Volvo Cars is seeking a Senior Logistics Data Engineer to bridge global logistics operations with data-driven insight. You will own the TMS implementation, data architecture, and BI strategy, leveraging Snowflake and PowerBI to deliver executive dashboards.

You will lead regional deployment teams, push automation with Python/SQL, and translate complex data into strategic recommendations impacting network design and logistics efficiency.

Qualifications

• 7+ years in BI or systems management with supply chain exposure.
• University degree in a relevant field or equivalent experience.
• Strong analytics, data modeling, and data lake experience.

Responsibilities

• Lead deployment and optimization of TMS platforms across global outbound operations.
• Oversee data governance, integration channels, and system integrity.
• Design scalable BI and forecasting reports for executive leadership.
• Drive automation and change management for data-driven decisions.

Skills

BI & analytics

Snowflake

PowerBI

SQL

TMS knowledge

EDI / API integrations

Data governance

Stakeholder communication

Python / automation

Education

Bachelor's degree in Engineering / Business / CS / Logistics / Supply Chain

Tools

Snowflake

PowerBI

SQL

EDI / EDIFACT

APIs

Job description

Volvo Cars is seeking a Senior Logistics Data Engineer to bridge global logistics operations with data-driven insight. You will own the TMS implementation, data architecture, and BI strategy, leveraging Snowflake and PowerBI to deliver executive dashboards.

You will lead regional deployment teams, push automation with Python/SQL, and translate complex data into strategic recommendations impacting network design and logistics efficiency.