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About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
Position
This role can be based in Luxembourgish, London, Munich, Paris, Milan and Madrid.
Job summary
Are you a talented and inventive engineer, who always insists on the highest standards, with a strong passion about modern data technologies and interested to improve business processes, extracting value from the data?
The Global Procurement Technology, as a part of Global Procurement Operations, is looking for a skilled Data Engineer to lead related engineering activities, and help build its future data ecosystem. You will be a member of the Data Engineering and ML Team, joining a fast-growing global organization, with a great vision to transform the Procurement field, and become the role model in the market. This team plays a strategic role supporting the core Procurement business domains as well as it is the cornerstone of any transformation and innovation initiative. Our mission is to provide a high-quality data environment to facilitate process optimization and business digitalization, on a global scale. We are supporting business initiatives, including but not limited to, strategic supplier sourcing (e.g. contracting, negotiation, spend analysis, market research, etc.), order management, supplier performance, etc.
We are seeking an individual who can thrive in a fast-paced work environment, be collaborative and share knowledge and experience with his colleagues. In Amazon, you will find a number of resources available to learn new skills and develop your career. You will connect with world leaders in your field and you will be tackling Data Engineering challenges to ensure business continuity, by taking the right decisions for your customers.
Key job responsibilities
As a Senior Data Engineer in the team, you will:
- Lead the design and development of highly scalable and efficient database systems and pipelines, supporting process optimization in Procurement operations management, analytics and reporting
- Lead data integration projects, being the proxy for other engineering senior leaders, e.g. Software Engineering
- Be an expert in the architecture of data warehousing products; capable of utilizing various technologies and tools
- Have very strong analytical skills and excel in the modeling, creation, management, and enterprise use of large data sets, combining raw (complex) data from different sources
- Define the best design and development practices to extract, transform, and load (ETL) data from various sources (internal or external), supporting the rapidly growing and dynamic demand for data; deliver data as a service, which will have an immediate influence on day-to-day business decision making
- Be the Subject Matter Expert (SME) for any data solutions, while striving for efficiency by aligning data product initiatives with business goals
- Organize data engineering workshops and best practices demos, to share knowledge across teams and ensure that all data engineers follow the same rules and guidelines
- Cooperate with different groups of stakeholders, i.e. engineers, scientists, product/program managers, senior leadership, etc. to evaluate properly any business needs and objectives, and provide the best solution
Your qualification
- Bachelor’s Degree in Computer Science/Engineering, Informatics, or a related technical discipline
- 8+ years of industry experience in data engineering, business intelligence, software engineering, or a related field
- Excellent knowledge of data management fundamentals (i.e. profiling, storage, processing, access, etc.)
- Demonstrated strength in data modelling, ETL development, and data warehousing/lakes design
- Extensive experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, DynamoDB, Lambda, SNS/SQS, S3, Glue, Athena, EMR, etc.)
- Expert level in SQL coding and query performance tuning skills
- Extensive experience building data products incrementally, integrating and managing large data sets from multiple sources
- 5+ years of demonstrated coding experience with modern programming or scripting languages (Python, Scala, Java, etc.)
- Good knowledge of software/data development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Experience leading a team of engineers, and/or mentoring other data engineers on best design/development practices
Will be a plus
- Master’s Degree in Information Systems, Data Engineering, Applied Data Science, Web Science, or a related certification
- Experience developing data solutions using Microsoft Database Software Stack (SQL Server/SSIS)
- Database design and administration experience with various RDBMS, such as PostgreSQL, MS SQL Server, MySQL, etc.
- Knowledge of systems engineering to optimize performance of data services
- Proven track record of applying data engineering for enabling business analytics (Procurement, Operations, Finance, etc.)
- Experience utilizing business intelligence reporting tools (AWS QuickSight, Power BI, Tableau, etc.)