7 of 7 Remote Amazon S3 Jobs in Central London

design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely More ❯

Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack More ❯

technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen for application More ❯

consulting experience — either from a Big 4, boutique consultancy, or transformation-focused delivery team . Hands-on experience with AWS security, networking, and core platform services (IAM, VPC, EC2, S3, Lambda, etc.). Familiarity with Infrastructure as Code (Terraform, CloudFormation) and DevOps tooling (Git, CI/CD, etc.). Excellent communication and stakeholder management skills — confident engaging with both More ❯

recommend appropriate technologies, frameworks, and tools for specific use cases. Cloud Architecture (AWS): Lead the design and implementation of cloud-native applications on AWS, leveraging services such as EC2, S3, RDS, Lambda, and others. Ensure that security, performance, and cost optimization principles are applied in cloud-based solutions. Documentation & Governance: Maintain comprehensive technical documentation for architecture designs, patterns, and … not required. Cloud Expertise: Solid experience with Amazon Web Services (AWS) , including architecture, deployment, and optimization of cloud applications. Familiarity with AWS services such as EC2, Lambda, S3, RDS, and API Gateway . Architecture & Design Patterns: Strong grasp of software design patterns and best practices for large-scale distributed systems. Ability to design solutions that are highly More ❯

leader with deep AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with More ❯

tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering. Key Responsibilities: Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB). Deliver ETL/ELT solutions with Matillion and related tooling. Work closely with client teams to define requirements and hand over production … ready solutions. Own infrastructure and deployment via CI/CD and IaC best practices. Contribute to technical strategy and mentor junior engineers. Requirements: Strong hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with More ❯