5 of 5 Permanent AWS Fargate Jobs in the North of England

technically and professionally. We deliver our solutions using the best of modern architectural patterns (server-less, micro-services and Domain Driven Design), Cloud platforms (AWS and Azure), languages (Python, Java/Spring, Node.js and .NET), databases (PostgreSQL, MongoDB and MS SQL) and Continuous Integration/Delivery tools (GitHub, BitBucket … Jenkins, Terraform, Kubernetes, Docker, AWS Fargate and AWS CodeDeploy etc). As a Full Stack Software Engineer at Informed you will: Help to deliver enterprise scale digital solutions for high-profile clients across a range of sectors Be offered a diverse and fulfilling role with the ability … CD, Test and Behaviour Driven Development etc) Continuous Integration/Delivery tools and techniques (e.g. Jenkins, Docker, Terraform etc) Cloud SaaS, PaaS and IaaS (AWS and Azure) Able to work under pressure and to short deadlines with a clear sense of priority within a fast-paced and agile environment More ❯

Location : Sheffield City Centre (Fargate) Hybrid working as standard: 2 days a week in the office, the other 3 days from home/office (whatever you prefer!) About the team that drives our platform We're a PropTech scale-up who have created a revolutionary, cloud-based software platform More ❯

level knowledge of Databricks platform for logistics applications - Advanced Python development skills - Deep understanding of SQL optimization for large-scale operations - Proven experience with AWS technologies (EC2, Lambda, Fargate, ECS, CDK) - Strong background in streaming and batch Spark workloads What We're Offering: - Flexible working arrangements - Up to More ❯

of concept. Ensure performance, security, and scalability of data solutions. Key Requirements of the Data Solutions Lead: Expert in Databricks (experience with Databricks on AWS or Azure). Strong Python and SQL skills for logistics and delivery optimisation. Background in solution design and business engagement. Understanding of AWS (e.g., EC2, Lambda, Fargate) is beneficial. Degree in Computer Science, Engineering, or similar; Master s preferred, with 8+ years in data engineering and leadership. Experienced in Spark workloads, data modelling, and pipeline optimisation. Skilled in mentoring, stakeholder communication, and technical documentation. Familiarity with security standards (e.g., NIST, PCI More ❯

of concept. Ensure performance, security, and scalability of data solutions. Key Requirements of the Data Solutions Lead: Expert in Databricks (experience with Databricks on AWS or Azure). Strong Python and SQL skills for logistics and delivery optimisation. Background in solution design and business engagement. Understanding of AWS (e.g., EC2, Lambda, Fargate) is beneficial. Degree in Computer Science, Engineering, or similar; Master’s preferred, with 8+ years in data engineering and leadership. Experienced in Spark workloads, data modelling, and pipeline optimisation. Skilled in mentoring, stakeholder communication, and technical documentation. Familiarity with security standards (e.g., NIST, PCI More ❯