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.