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