51 to 75 of 128 Amazon S3 Jobs in the UK

growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development

data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion architecture . Hands-on experience with AWS services such as S3, Glue, Lambda, Batch, and IAM. Strong skills in Python for data engineering, automation, and testing. Confident using SQL for data analysis and building queries

expertise with Node.js and TypeScript in production environments. Strong experience designing and deploying microservices and RESTful APIs. Proven experience with AWS (EKS, DynamoDB, S3, Lambda, Terraform). Solid understanding of CI/CD pipelines, DevOps principles, and Infrastructure as Code. Experience leading or influencing technical direction across multiple teams.

expertise with Node.js and TypeScript in production environments. Strong experience designing and deploying microservices and RESTful APIs. Proven experience with AWS (EKS, DynamoDB, S3, Lambda, Terraform). Solid understanding of CI/CD pipelines, DevOps principles, and Infrastructure as Code. Experience leading or influencing technical direction across multiple teams.

Skills • Min of 2 years of experience in data engineering or a similar role. • Hands-on experience with core AWS data services (for example S3, Glue, Athena, Lambda, IAM, EMR). • Strong SQL skills (joins, window functions, optimization). • Solid Python for data processing. • Experience building production ETL/

following, or be open to learning: JavaScript: React, Node.js, Jest, Cypress Ruby (non-Rails environment) - nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong communicator with empathy

following, or be open to learning: JavaScript: React, Node, Jest, Cypress Ruby (non-Rails environment) – nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong communicator with empathy

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technologies and JS frameworks, such as React. Experience writing and consuming RESTful APIs in Python. Experience with AWS services (Lambda, SQS, API gateways, S3). Excellent time-management and organisational skills, with the ability to work to deadlines. Good communication, negotiating and influencing skills. Excellent opportunity to positively impact

technical colleagues. Youll bring: Strong hands-on experience with React and TypeScript. Experience developing backend solutions using AWS serverless technologies (Lambda, DynamoDB, S3, SQS). A desire to learn new technologies - particularly Rust, which is becoming an increasingly important part of the stack (no prior experience required). Good

Expert-level React/Next.js and TypeScript. • Strong Node.js and REST API development. • Experience with microservices architecture. • Familiarity with AWS services (Lambda, API Gateway, S3). • Understanding of authentication, RBAC, and secure data flows. • Knowledge of CI/CD pipelines.

similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines

practices, processes and team culture. 2. Technical Foundations Experience with any of the following is beneficial (they are open-minded): Python AWS serverless (Lambda, S3, SQS, API Gateway) React/JavaScript REST APIs SQL Strong back-end or cloud developers from other stacks will still be considered. 3. Energy

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/

practices, processes and team culture. 2. Technical Foundations Experience with any of the following is beneficial (they are open-minded): Python AWS serverless (Lambda, S3, SQS, API Gateway) React/JavaScript REST APIs SQL Strong back-end or cloud developers from other stacks will still be considered. 3. Energy

ensure scalability, reliability, and security. AWS Expertise: Extensive hands-on experience with Amazon Web Services (AWS), including but not limited to EC2, S3, Lambda, IAM, Redshift, and VPC configurations, along with a thorough understanding of AWS best practices. Git/GitLab/Jenkins Pipelines: Strong command

ensure scalability, reliability, and security. AWS Expertise: Extensive hands-on experience with Amazon Web Services (AWS), including but not limited to EC2, S3, Lambda, IAM, Redshift, and VPC configurations, along with a thorough understanding of AWS best practices. Git/GitLab/Jenkins Pipelines: Strong command

ensure scalability, reliability, and security. AWS Expertise: Extensive hands-on experience with Amazon Web Services (AWS), including but not limited to EC2, S3, Lambda, IAM, Redshift, and VPC configurations, along with a thorough understanding of AWS best practices. Git/GitLab/Jenkins Pipelines: Strong command

+ optimizing .NET Core microservices and RESTful APIs. Developing + maintaining scalable serverless applications using AWS services such as: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SNS/SQS, AppSync. Expertise in AWS serverless services (Lambda, API Gateway, S3, DynamoDB), DevOps practices + CI/

+ optimizing .NET Core microservices and RESTful APIs. Developing + maintaining scalable serverless applications using AWS services such as: AWS Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SNS/SQS, AppSync. Expertise in AWS serverless services (Lambda, API Gateway, S3, DynamoDB), DevOps practices + CI/

storage, and application teams to resolve cross-stack issues. Cloud & DevOps Collaboration Support deployments, migrations, and integration activities across Azure and AWS (EC2, RDS, S3, Azure VM, Azure Backup, Azure Storage). Work closely with application developers, DevOps engineers, and infrastructure teams on schema changes, CI/CD pipelines

scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services Experience querying data stored on AWS S3 or Azure ADLSv2, or through a Lakehouse capability Experience in managing API-level and Database connectivity Experience using source control and DevOps tooling such