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

D8 LooP; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Amazon is seeking a Data Engineer II for a 1 Year FTC to design, build, and optimize data architectures powering analytics across the Supply Chain Optimization Technologies - Planning group.

The role emphasizes SQL and AWS-based data models, data quality, and scalable pipelines. You will participate in design reviews, troubleshoot incidents, and ensure reliable datasets for analysts and scientists.

Qualifications

• Write clean, well-documented SQL code to automate data processes and improve data quality.
• Create and maintain data models that accurately represent business requirements and ensure data integrity.
• Work with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Lambda, and IAM.
• Afternoons include design reviews to propose improvements and troubleshoot production incidents at their root cause.

Responsibilities

• Design, build, and optimize data architectures for large-scale datasets used by analysts, scientists, and engineers.
• Review pipeline health dashboards and resolve data quality issues before they impact downstream consumers.
• Collaborate with cross-functional teams to ensure data availability and quality for analytics.

Skills

SQL

AWS

Spark

Streaming

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Job description

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

**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.

Skills, with evidence

Create and maintain logical and physical data models that accurately represent business requirements, enforce data integrity, and support downstream analytics and reporting needs. must have

• SQL 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. must have
• AWS Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. must have · not practised here
• Cost & performance 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. - 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.
• Afternoons often include design reviews with your team, where you propose improvements to existing architectures or troubleshoot production incidents at their root cause.
• Spark - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Streaming - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• You will start your day reviewing pipeline health dashboards and resolving any data quality issues before they reach downstream consumers. not practised here
• Governance & security - 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. not practised here