Senior AWS Data Engineer

We’re currently partnered up and working exclusively with a leading HealthTech SaaS brand that's revolutionising the way GPs operate. With an innovative platform patented that is designed to streamline workflows, enhance patient care, and improve the healthcare professional experience – they’re transforming the future of primary care and scaling rapidly. As a Senior AWS Data Engineer, you'll play a crucial role in designing, developing, and maintaining robust data pipelines and ETL processes on the AWS platform. Your expertise will be instrumental in optimising data warehouse performance, ensuring data integrity, and enabling large-scale analytics. Salary of £70k - £80k | Hybrid remote with offices in Warrington (must be based in the UK) As a purpose led brand, you’ll be making a real impact in the healthcare sector, contributing to solutions that enhance patient outcomes and support healthcare professionals in their vital work. Key tasks include: Design and maintain scalable data environments using AWS technologies (Redshift, Glue, Athena, S3). Develop and optimise ETL/ELT processes for healthcare data. Ensure compliance with UK NHS healthcare regulations in all data processing. Automate and streamline data workflows using AWS tools. Monitor and optimise data infrastructure for performance and scalability. Collaborate with stakeholders to ensure accessible and accurate data solutions. Enhance and optimise data analytics tools for large-scale enterprise usage. Document and maintain clear architecture and data process standards. Senior AWS Data Engineer – Key skills needed: Commercial experience in data engineering with a strong focus on AWS technologies. Expertise in ETL processes, data pipelines, and automation. In-depth knowledge of SQL, PostgreSQL, and data performance optimisation. Experience with big data environments, tools, and technologies. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration abilities. AWS certifications (Solutions Architect, Certified Data Engineer, Big Data Specialty). Experience working with data in a regulated environment (data protection, GDPR). Knowledge of HL7 FHIR data format. Experience with Infrastructure-as-Code and AWS CDK. Experience with machine learning models applied to healthcare data. With the company continually growing at speed and firmly dedicated to improving their tech functionality, you’ll be joining a collaborative and inclusive workspace that promotes career progression and will play a key role in adapting operations for the digital age. For more info, apply now and we’ll be in touch!