Salary: £80,000 - 80,000 per year Requirements: Proven experience building and running production data platforms on AWS end-to-end, ideally in a multi-site business environment Strong proficiency in Python and SQL, with hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow orchestration tools such as Airflow or similar Ability to design scalable architectures, make pragmatic trade-offs, and communicate effectively with both technical and non-technical stakeholders Responsibilities: Design, build, and operate a scalable AWS data platform, including storage, compute, security, and monitoring Develop robust, idempotent ETL pipelines across diverse data sources (APIs, databases, files, and event streams) Implement medallion architecture (bronze, silver, gold) to transform raw data into high-quality, analytics-ready datasets Establish infrastructure-as-code and CI/CD practices to ensure reproducibility and continuous improvement Own data modelling, master data management, and aggregation layers to support reporting, analytics, and ML use cases Technologies: Airflow AWS Lambda Redshift CI/CD ETL Support Python PySpark SQL Security Spark Terraform Cloud More: We are a leading provider of recruitment, interim management, and consultancy services to the supply chain and logistics industry. We offer a hybrid work environment and a competitive salary range of circa £70,000 - £80,000. Our team is dedicated to fostering a collaborative atmosphere, where every member contributes to building innovative solutions. We welcome applicants who have an unrestricted right to work in the UK, as we do not support visa sponsorship for this role. last updated 21 week of 2026