7 days ago
Luxembourg, LuxembourgMid Level
Responsibilities
- Design and maintain scalable ETL/ELT pipelines and data models for procurement analytics, supplier mapping, and trusted supplier data.
- Create logical and physical data models across large internal and external datasets while ensuring data quality and consistency.
- Build self-service data infrastructure and curated datasets for business intelligence engineers, scientists, and business teams.
- Translate business requirements into documented, high-performing data solutions with engineering and business partners.
- Evaluate generative AI tooling for data workflows and contribute to the team’s AI transformation efforts.
- Resolve operational issues, participate in design reviews and sprint ceremonies, and collaborate across EU and North America time zones.
Requirements
- Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets.
- Experience independently delivering end-to-end projects.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Experience with SQL and databases or data stores such as Redshift, Oracle, and NoSQL systems.
- Programming experience in at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby.
- Knowledge of professional software engineering practices across the software development life cycle, including coding standards, architecture, code reviews, source control, continuous deployments, testing, and operational excellence.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases and data stores, highly available distributed data processing systems, and big data technologies such as Hadoop, Hive, Spark, and EMR.
Benefits
- The role provides focused heads-down work time balanced with cross-time-zone collaboration and regular team meetings.
- The team offers opportunities to develop skills across software, data, and AI engineering disciplines.
- Amazon provides disability accommodations or adjustments during the application and hiring process.
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.