Amazon Senior Data Engineer GTS Research Engineering 

Luxembourg, Luxembourg 

5362830

As a Data Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of transportation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network’s performance, simplify processes, and leverage existing resources. As part of your responsibilities, you will help the design and implementation of state-of-the-art solution in transportation planning and network design, ensuring that end to end transportation strategies are streamlined and optimized. The impact of your work will be in the Amazon EU global network.
Key job responsibilities
• Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
• Develop relationships with internal and external partner teams to enrich our collection of data.
• Take the lead on the design, implementation, and delivery of large-scale or significantly difficult data solutions that have a long-term impact on our mid- and long-term strategic planning.
• Analyze historical data to identify trends and support decision making.
• Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for data engineering excellence, from designs to data models to implementations.
• Improve upon existing methodologies by developing new data sources or architecture enhancements.
• Lead and actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
• Collaborate with multiple teams and have cross-organizational impact.
• Research and benchmark our technology against other competing software in the industry.
• Actively mentor and educate the larger DE community on trends, technologies, and best practices.Luxembourg, LUX

- Experience in data engineering
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience building data products incrementally and integrating and managing data sets from multiple sources