51 to 75 of 480 Amazon S3 Jobs in England

skills to good use (SQL is key, and any experience with R or Pandas is a bonus!). Working with AWS tools like EC2, S3, RDS, and Lambda. Being part of the DevOps flow – helping with tools, pipelines, and all that good stuff. Getting involved in Agile ways of More ❯

leadership and other stakeholders. What You'll Bring: Strong experience with Vue.js (or Nuxt.js) and modern TypeScript. Hands-on experience with AWS services (Lambda, S3, RDS, CloudFormation). Experience with DevOps tools, CI/CD pipelines, Docker, and Kubernetes. Strong knowledge of security best practices in web applications. Leadership More ❯

end development with React (JavaScript/TypeScript) Working knowledge of Elasticsearch and Kibana Experience developing for cloud environments, particularly AWS (EC2, EKS, Fargate, IAM, S3, Lambda) Understanding of Hibernate ORM Experience building microservice or serverless architectures Knowledge of migrating on-premise applications to cloud environments Location and Work Style More ❯

tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS - Aurora/Redshift/Athena/S3) Support users and operational flows for quantitative risk, senior management and portfolio management teams using the tools developed Qualifications/Skills Required Advance degree More ❯

a core hub—making it easy and safe for teams to use and contribute to data systems. You’ll work with services like Lambda, S3, LakeFormation, Glue, Step Functions, Athena, EventBridge, SNS, SQS, and DynamoDB, and will be expected to navigate and manage data systems with a high degree More ❯

a core hub—making it easy and safe for teams to use and contribute to data systems. You’ll work with services like Lambda, S3, LakeFormation, Glue, Step Functions, Athena, EventBridge, SNS, SQS, and DynamoDB, and will be expected to navigate and manage data systems with a high degree More ❯

technologies as needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data More ❯

development. Requirements: Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices More ❯

development. Requirements: Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices More ❯

development. Requirements: Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices More ❯

development. Requirements: Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices More ❯

Take part in code reviews, pair programming, and regular feedback cycles Work across a modern backend stack involving AWS, PostgreSQL/DynamoDB/OpenSearch, S3, WebSockets, and infrastructure-as-code What this offers The chance to join at the very beginning of a high-potential start-up, with a More ❯

Node.js. You have experience working with MongoDB (Atlas), SQL, or other NoSQL databases. You have experience with cloud platforms (AWS preferred, including Elastic Beanstalk, S3, Lambda). You have experience with Tailwind CSS, DaisyUI, or other modern UI frameworks. You understand the use of RESTful APIs, architecture, and serverless More ❯

balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions More ❯

a similar role Experience in managing a team of Data Engineers Experience with Data modelling, Data warehousing, and building ETL pipelines Experience with AWS (S3, EKS, EC2, RDS) or similar cloud services, Snowflake, Fivetran, Airbyte, dbt, Docker, Argo Experience in SQL, Python, and Terraform Experience with building Data pipelines More ❯

Required Skills & Experience 5+ years in DevOps/SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/ More ❯

services. NICE TO HAVE: Working experience in containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with AWS Lambda and related AWS services (e.g., S3, DynamoDB, API Gateway, SNS). Understanding of event-driven architectures and microservices. Experience with API frameworks and tools like Swagger/OpenAPI, Postman, and More ❯

is something we're very proud of It consists of, but not limited to: JavaScript, React, React Native, Node.js, Storybook for components, Python AWS: S3, Glacier, Lambda Functions, AWS Code Pipeline, SQS and SNS. RDS (Aurora) & DynamoDB, Elasticsearch Service, IAM, Guard Duty, GitHub What happens when I join the More ❯

ensure the stability and evolution of our platforms. Our Technology Stack:Java (primarily using Spring Boot), MySQL, Postgres (with Liquibase), Docker, AWS (e.g., ECS, S3, CloudWatch), Retool, Jenkins or GitHub Actions for CI/CD pipelines, Python for certain microservices or data-related tasks Who You Are Seven or More ❯

For: Experience in modern web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

and use of Atlassian tools (e.g., Jira, Confluence ) Working with open-source databases like PostgreSQL and cloud platforms, particularly AWS (EC2, SQS, RDS, DynamoDB, S3, Route53, KMS, CloudWatch) Agile methodologies (Scrum, Kanban) and modern development practices like TDD and BDD Essential: Java 17+, Spring Boot, Spring Data JPA, Spring More ❯

impact environment where technology drives the business. Key Responsibilities Design, build, and maintain robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders More ❯

core Python libraries and frameworks. Public Sector ideally, NHS Strong knowledge of AWS services, particularly in designing and implementing solutions using services like Lambda, S3, EC2, and Redshift. Hands-on experience with PySpark for big data processing and analysis. Familiarity with database technologies, such as PostgreSQL, MySQL, or MongoDB. More ❯