Data Engineer, Global Procurement Technology, Global Procurement Tech

Amazon.com, Inc.; Greater London; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Amazon UK Services Ltd. is seeking a data engineer to build scalable data solutions for global procurement analytics. You will design ETL/ELT pipelines, model supplier data, and enable trusted data for AI-driven decision making across multiple regions.

You will collaborate with software engineers, scientists, and product managers to translate business requirements into robust, scalable data platforms and explore AI tooling for data workflows within an agile environment.

Qualifications

• Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets.
• Experience delivering end-to-end projects independently.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience with Redshift, Oracle, NoSQL etc.
• Programming in at least one modern language (e.g., Python, Java, C#, etc.).
• Knowledge of software engineering best practices across the SDLC.

Responsabilités

• Design and maintain scalable ETL/ELT pipelines and data models for procurement analytics and supplier data repository.
• Create logical and physical data models across large datasets from multiple sources.
• Build self-service data infrastructure and curated datasets for BI engineers and data scientists.
• Collaborate with engineers, scientists, and product managers to translate requirements into high-performing data solutions.
• Evaluate generative AI tooling for data workflows where appropriate.

Connaissances

Data engineering

End-to-end projects

Data modeling

ETL pipelines

SQL

Programming languages

Outils

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

Python/Java

Description du poste

Job ID: 10597457 | Amazon UK Services Ltd.

Data is at the heart of procurement. Do you want to make that data AI-ready — powering not just insight but autonomous decision-making and action at a global scale? As a Data Engineer on the Global Procurement Technology team, you will build the data foundation that drives AI transformation across Amazon's procurement organization. You will design and deliver data solutions end to end: creating supplier entity relationships, aggregating supplier data, enabling supplier performance and risk analysis, and providing supplier sourcing recommendations worldwide. Your work will directly shape how procurement teams make decisions and how AI applications consume and act on trusted supplier data. You will partner with software engineers, scientists, business intelligence engineers, and business stakeholders to turn complex, multi-source datasets into reliable data products. If you enjoy solving ambiguous data problems and want your solutions to influence procurement strategy globally, we want to hear from you.

Key job responsibilities

• Design and maintain scalable ETL/ELT pipelines and data models that support procurement analytics, supplier mapping, and the trusted supplier data repository.
• Create logical and physical data models across large datasets from multiple internal and external sources, ensuring data quality and consistency.
• Build self-service data infrastructure and curated datasets that let business intelligence engineers, scientists, and business teams access reliable data on their own.
• Collaborate with software engineers, scientists, and product and program managers to turn business requirements into well-documented, high-performing data solutions.
• Evaluate generative AI tooling for data workflows where appropriate, contributing to the team's broader AI transformation efforts.

A day in the life

Your morning is your focused time. You might spend it building new solutions, improving existing systems, solving operational issues, or pairing with a nearby EU colleague or stakeholder to work through a technical question. In the afternoon, the overlap with North America opens up and the pace shifts. This is when most team meetings, design reviews, and joint problem-solving with your NA counterparts happen. You will join sprint ceremonies with your agile squad, walk through designs with peers, and align with product and program managers on priorities. The rhythm gives you dedicated heads-down hours each day balanced with regular cross-timezone collaboration.

About the team

Global Procurement Technology sits within Global Procurement Operations and builds the data and technology products that power Amazon's procurement processes worldwide. Our key products include the supplier mapping framework, the trusted supplier data repository, and the supplier management system. The team is an agile group of data engineers, software engineers, scientists, and product and program managers, with Principal Engineers in the broader organization providing technical guidance. You will have the chance to build skills across engineering disciplines, and the team's collaborative setup means you can grow by contributing to software, data, and AI work alike.

Basic Qualifications

• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
• Experience working on and delivering end to end projects independently
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience with Redshift, Oracle, NoSQL etc.
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.