26 to 50 of 227 Amazon S3 Jobs in London

domain on technical approaches to 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/Jenkins Nice to Have More ❯

and below you can find a small reflection of our current tech stack: Frontend: React Native (iOS and Android) Typescript Fastlane SwiftUI (Apple Watch) Serverless (AWS) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Postman API tests All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Figma Software Engineer Interview Process More ❯

and leverage cutting edge modern technologies and cloud solutions to develop analytics products. DSP Analytics team has an exciting opportunity for a Business Intelligence Engineer (BIE) to improve Amazon's Delivery Service Partner (DSP) program through impactful data solutions. The goal of Amazon's DSP organization is to exceed the expectations of our customers by ensuring … inform the larger team of noteworthy trends that impact the business. - Retrieve and analyze data using a broad set of Amazon's data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use. - Earn the trust of your customers and stakeholders by continuing to constantly obsess … scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience developing and presenting recommendations of new metrics allowing More ❯

stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake … Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon … working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports. - Create & articulate compelling value propositions around AWS analytics services. - Accelerate customer adoption of Amazon analytics services. - Maintain a robust sales pipeline leveraging sales force automation tools and best practices - Work with partners to extend reach & drive adoption. - Develop long-term strategic relationships with More ❯

a Data Engineer or in 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 and applications to stream and More ❯

scalable, secure solutions. Automating infrastructure using tools like Terraform, ARM/BICEP, and scripting languages. Monitoring system performance and troubleshooting issues using observability tools. Supporting cloud services (e.g., EC2, S3, RDS, Azure VMs, Azure Functions). Maintaining and improving system documentation and operational procedures. Mentor team members and contribute to a culture of learning and inclusion. Continuously improving infrastructure More ❯

and IaC practices with Terraform and CloudFormation. Additionally, you will containerize solutions using Docker and Kubernetes . Your work will involve spanning multiple cloud environments such as AWS (EC2, S3, Lambda, CodePipeline, AWS Bedrock) and Azure (Azure AI Foundry). You will also be responsible for integrating front-end customizations in JavaScript/TypeScript for chatbots and interactive interfaces. More ❯

work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code More ❯

work on productionising solutions using OCR, NLP (SpaCy), and ML to automate the processing of documents. Key Responsibilities Develop and maintain automation services using AWS serverless stack (Lambda, CDK, S3, Aurora/Postgres) Implement OCR, NLP, and ML for document analysis and automation risk assessment Lead R&D spikes and validate system improvements through robust data analysis Ensure code More ❯

plans and roadmaps to senior 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 & Business Mindset Entrepreneurial mindset-able More ❯

version control, testing) Excellent communicator-comfortable leading discussions with both technical and non-technical stakeholders A collaborative mindset and passion for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about platform-level More ❯

understanding of software testing methodologies, excellent analytical skills, and a passion for delivering high-quality products. Tech Stack: AWS Serverless Lambda with Node.js API Gateway (REST/JSON) DynamoDB S3 WAF Back-Office Banking Systems API Integration Dynamics 365 CRM React.js (website)/React Native (app) Responsibilities: Collaborate with cross-functional teams to understand project requirements and define test More ❯

Maven, Spring Boot etc) Good knowledge of relational database management systems (RDBMS) such as PostgreSQL Experience in developing interactive products with realtime technologies (e.g. Websocket) Experience with AWS services (S3, EC2, RDS, DynamoDB, ElastiCache etc) Working basic knowledge of infra technologies and processes (deployment, contracts, gRPC etc) to co-design solutions with our other engineers Working knowledge of microservices More ❯

and be vigilant of new security best practices, new technology innovations and emerging cyber threats. Technical Skills: Deep understanding of AWS services (e.g. Control Tower, Guard Duty, AFT, EC2, S3, RDS, etc.) and the six pillars of the well- architected framework. Proficiency in infrastructure-as-code (e.g. Terraform, CloudFormation) and automation tools. Familiarity with CI/CD pipelines, containerisation More ❯

and be vigilant of new security best practices, new technology innovations and emerging cyber threats. Technical Skills: Deep understanding of AWS services (e.g. Control Tower, Guard Duty, AFT, EC2, S3, RDS, etc.) and the six pillars of the well- architected framework. Proficiency in infrastructure-as-code (e.g. Terraform, CloudFormation) and automation tools. Familiarity with CI/CD pipelines, containerisation More ❯

analytics solutions for focused business data users. Hands-on experience with Python, PySpark, SQL, and infrastructure-as-code tools (e.g., AWS CloudFormation, Terraform). Deep expertise in AWS (EC2, S3, Lambda, API Gateway) or equivalent services in GCP/Azure. Proficiency with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, Redshift, Snowflake, DynamoDB, MongoDB). Strong coding practices and experience More ❯

best practices in devops, aws, and java development.Skill Requirements1. Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. 2. Strong understanding of aws services like ec2, s3, rds, and lambda. 3. Expertise in java programming and frameworks like spring and hibernate. 4. Handson experience in designing and implementing scalable and secure cloud architectures. 5. Ability to More ❯

best practices in devops, aws, and java development.Skill Requirements1. Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. 2. Strong understanding of aws services like ec2, s3, rds, and lambda. 3. Expertise in java programming and frameworks like spring and hibernate. 4. Handson experience in designing and implementing scalable and secure cloud architectures. 5. Ability to More ❯

best practices in devops, aws, and java development. Skill Requirements: Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. Strong understanding of aws services like ec2, s3, rds, and lambda. Expertise in java programming and frameworks like spring and hibernate. Handson experience in designing and implementing scalable and secure cloud architectures. Ability to troubleshoot complex system More ❯

best practices in devops, aws, and java development. Skill Requirements: Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. Strong understanding of aws services like ec2, s3, rds, and lambda. Expertise in java programming and frameworks like spring and hibernate. Handson experience in designing and implementing scalable and secure cloud architectures. Ability to troubleshoot complex system More ❯

Skills Required: Advanced level of coding in Python for Data Science Software engineering architecture design for application with integrated Data Science solutions Jupyter server/notebooks AWS: EC2, Sagemaker, S3 Git version control SQL skills include selecting, filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex More ❯

services-based solutions. Basic Knowledge of User Interface design & development using Angular, React, HTML5, XML & CSS Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in DevOps development and deployment using docker and containers. Domain knowledge in Financial Industry and Capital Markets is a plus. Bachelor's degree in computer science More ❯

AWS Data Engineer London, UK Permanent Strong experience in Python, PySpark, AWS S3, AWS Glue, Databricks, Amazon Redshift, DynamoDB, CI/CD and Terraform. Total 7 + years of experience in Data engineering is required. Design, develop, and optimize ETL pipelines using AWS Glue, Amazon EMR and Kinesis for real-time and batch data processing. … data transformation, streaming, and storage solutions on AWS, ensuring scalability and performance. Collaborate with cross-functional teams to integrate and manage data workflows. Skill-set Amazon Redshift, S3, AWS Glue, Amazon EMR, Kinesis Analytics Ensure data security, compliance, and best practices in cloud data engineering Experience with programming languages such as Python, Java, or Scala. More ❯

distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job 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 ❯