Data Engineer II (1 Year FTC), Supply Chain Optimization Technologies - Planning

Amazon is hiring a Data Engineer II (1 Year FTC), Supply Chain Optimization Technologies - Planning in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
The posting mentions SQL, ETL and Generative AI among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted within the past week.

AI in this role

Design, build, and optimize scalable data architectures, ETL workflows, and pipelines for supply chain optimization.

sqletlgenerative-ai

data-engineeringpipeline-developmentdata-modelinganalytics

**This is a 1 Year FTC contract**

Are you passionate about building data solutions that power decisions at massive scale? As a Data Engineer II at Amazon, you will design, build, and optimize data architectures that turn raw information into reliable, high-quality datasets used by analysts, scientists, and engineering teams. You will work across the full data lifecycle — from ingesting and transforming semi-structured data streams to creating logical data models that drive physical design and enable self-service analytics. This role offers the opportunity to solve complex data challenges, improve how teams discover and trust their data, and directly influence business outcomes through the systems you create.

Key job responsibilities
- Design and implement ETL workflows and data pipelines that extract, transform, and load data at scale, ensuring stability, performance, and efficient resource usage across distributed systems and cloud infrastructure.
- Create and maintain logical and physical data models that accurately represent business requirements, enforce data integrity, and support downstream analytics and reporting needs.
- Write clean, well-documented code using SQL and scripting languages to automate data processes, optimize query performance, and build tools for tracking data lineage and improving data quality.
- Collaborate with analysts, scientists, and software engineers to understand data requirements, balance competing priorities, and deliver usable datasets that provide clear business value.
- Participate in code reviews, design discussions, and operational excellence initiatives, contributing to continuous improvement of team data solutions while mentoring peers on system architecture and best practices.

A day in the life
You will start your day reviewing pipeline health dashboards and resolving any data quality issues before they reach downstream consumers. From there, you might pair with a scientist to refine a data model, write and optimize SQL queries for a new reporting dataset, or evaluate a generative AI tool to accelerate a repetitive transformation task. Afternoons often include design reviews with your team, where you propose improvements to existing architectures or troubleshoot production incidents at their root cause.

About the team
Our team is focused on building reliable, scalable data infrastructure that empowers teams across Amazon to make faster, better-informed decisions. We value collaboration, technical curiosity, and a commitment to simplifying complex systems. As we continue to grow, you will have the opportunity to shape the tools and processes that define how data is managed and consumed. If you are excited about working in an inclusive environment where your ideas directly influence how we build for the future, we would love to hear from you.

Basic qualifications

- Experience in data engineering
- Experience with data modeling, warehousing and building ETL pipelines

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)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Data Engineer II (1 Year FTC), Supply Chain Optimization Technologies - Planning at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer II (1 Year FTC), Supply Chain Optimization Technologies - Planning is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in GB, London.
The job was posted on October 28, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringPipeline DevelopmentData ModelingAnalyticsSQLETLGenerative AI

Also common in data engineer jobs at this level

Python Spark Azure Airflow Databricks Google Cloud

Pay

Typical data engineer job: $149k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where pipeline development was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Pipeline Development, Data Modeling, Analytics, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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