Data Engineer

AWS Data Engineer (Contract-to-Hire) | Terraform | Lambda | End-to-End Ownership We’re partnering with Navitus to hire a high-calibre AWS Data Engineer to help architect and scale a cloud-native data platform from the ground up. This role sits at the intersection of Data Engineering and Cloud Infrastructure, and is ideal for someone who has built production-grade data pipelines in AWS and understands how to provision, automate, and optimise the infrastructure those pipelines run on. You’ll be joining a team focused on modernising their data ecosystem, moving away from legacy approaches and toward a fully automated, scalable, AWS-native environment. The expectation is impact from day one. This is a hands-on build role, not a support or maintenance position. What You’ll Be Doing: Design, build, and optimise scalable data pipelines (ETL/ELT) in AWS Implement Infrastructure as Code (Terraform) to provision and manage cloud resources Develop serverless data processing solutions using AWS Lambda Work across services like S3, Glue, Step Functions, IAM, CloudWatch or similar Ensure performance, scalability, and reliability of data workflows Take end-to-end ownership of both data and infrastructure layers Tech Environment: • AWS (core platform) • Terraform (Infrastructure as Code) • AWS Lambda (serverless compute) • Python / SQL (for data processing) • Modern data tooling within a cloud-native architecture What We’re Looking For: Strong hands-on experience with AWS in a data engineering context Proven experience building and maintaining data pipelines or ETL systems Experience with Terraform or similar IaC tools such as CloudFormation or CDK Solid programming skills in Python and/or SQL Understanding of cloud infrastructure, automation, and distributed systems Ability to operate independently and deliver with minimal oversight