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