AWs Data Engineer

We are looking for a Senior Data Engineer to join a highly collaborative data team working on modern cloud-native projects with real business impact.

You would be involved in designing and building scalable AWS-based data platforms, working closely with multidisciplinary teams across Data, Product and Business while leveraging modern technologies within the data ecosystem.

What you would be working on:

• Designing and maintaining scalable data pipelines across batch and streaming environments
• Building advanced cloud-native data processing solutions within AWS
• Translating complex business requirements into robust and scalable technical architectures
• Driving Data Quality, observability and reliability initiatives across the platform
• Optimising existing processes to improve performance and reduce operational costs
• Collaborating closely with different teams to maximise the value and exploitation of data.

Main tech environment

• Python
• Spark
• AWS (S3, Lambda, API Gateway, EMR, Glue, Athena)
• SQL & NoSQL databases
• PostgreSQL / MySQL
• DynamoDB / MongoDB / DocumentDB
• Airflow or AWS Step Functions
• Docker & Kubernetes/EKS
• Terraform
• CI/CD for data platforms
• Generative AI applied to development

What they are looking for:

• Strong experience building scalable data solutions in AWS
• Background working with distributed data processing environments
• Someone proactive with strong analytical thinking and technical ownership
• Comfortable collaborating with both technical and business stakeholders
• Interest in modern cloud and data architectures such as Lakehouse or Data Mesh

Why this opportunity stands out:

• Real business-impact projects
• Modern cloud ecosystem across AWS & GCP
• Collaborative and dynamic environment
• Strong learning and growth opportunities
• Flexible working model with 70% remote