When you join Daimler, you become an agent of change within our global community of people working to create a cleaner, safer, and more efficient world for today and tomorrow. Through innovation at all levels, our teams ensure our world-changing brands continue to increase the quality of life and the business success of our customers, their customers, and the world around them. The Daimler Trucks North America (DTNA) brand portfolio is second to none, and includes Freightliner Trucks, Western Star Trucks, Detroit engines and components, Thomas Built Buses and Freightliner Custom Chassis.

We are the undisputed leader in the commercial vehicle market and the industry’s technology trendsetter. Empowered by purpose, DTNA employees drive a Technology Revolution through innovative products and a customer-centric culture. Our dedication to our customers and society does not end once our products hit the road. That’s because we believe that business success and social responsibility go hand in hand. We immerse ourselves in our customer’s experience, and support the environmental responsibilities of our sites to ensure our products are the reliable, sustainable and the desired tools of the future.

Job Overview

In this exciting and challenging role as Data Engineer, you will be a key contributor to the core development team building our IoT data pipeline and solution integrations. You will leverage multiple enterprise data platforms and associated tools for product development. You are a highly motivated candidate who is willing to quickly learn and understand new technologies and tools. You will support, maintain and develop solutions, and scale the system to handle billions of telematics events in near real-time.

Responsibilities
- Implement, manage operation, and contribute to design of an Azure Data Lake and related services
- Actively work with internal and external customers to analyze business data needs, gather and document business and data architecture requirements
- Collaborate with IT architecture team and project architects to provide solutions
- Develop, implement and maintain data pipelines with IoT data (Telematics, Factory Robotics), and structured enterprise data.
- Perform data profiling, validation and acceptance testing for cloud integration
- Ensure highest levels of data accessibility, security, and quality at all stages
- Develop data pipelines with Azure Data factory, Azure Data Explorer, Databricks, Spark or related technologies
- Develop rapid prototype proof of concept solutions for viability studies
- Work within an Agile team and a dynamic, fast-moving, collaborative environment
- Communicate status to all stakeholders
- Keep current on latest Big Data technologies and products, including hands on evaluations and in-depth research
- Follow all IT General Controls, IT Security Policy, and Data Governance standards