AWS Engineer

We're supporting a major digital retail and embedded finance client who is scaling several high-profile data initiatives and is looking for AWS Data Engineers across Engineer, Senior and Lead levels.

This isn't a traditional "bums on seats" project. The client is increasingly investing in outcome-based delivery, meaning you'll be working on business-critical platforms and helping shape solutions from design through to delivery.

What you'll be doing:

• Building scalable data pipelines on AWS
• Developing event-driven, serverless solutions
• Working with modern lakehouse and data engineering architectures
• Collaborating with engineering teams to deliver measurable business outcomes
• Contributing to high-quality engineering practices including testing, CI/CD and code reviews

Core tech we're looking for:

• Python
• PySpark
• SQL
• AWS Lambda
• AWS Glue
• Athena
• Event-driven architectures
• Data streaming pipelines

Nice-to-have experience:

• EMR, S3, DynamoDB
• Step Functions
• MWAA / Airflow
• EventBridge
• SNS/SQS
• Kinesis
• Apache Iceberg, Delta Lake or Hudi
• Terraform
• GitLab / Jenkins
• Lakehouse architectures
• Teradata

Core Details:

• Remote with occasional travel to Liverpool (typically 2-3 days onsite when required)
• 6-month rolling contract
• Multiple hires across Engineer, Senior and Lead level

If you're an AWS Data Engineer who enjoys building modern, cloud-native data platforms and wants to work on programmes with genuine business impact, I'd be keen to speak.