1 to 25 of 170 Permanent Amazon S3 Jobs in the UK

Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon S3 and downstream analytics services. Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance … practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data. Ability to design AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Amazon SageMaker (and related ...

Strong commercial experience designing and building modern data platforms within AWS environments. Excellent knowledge of core AWS technologies, including: AWS Glue Amazon S3 Amazon RDS Amazon Athena Amazon Redshift Strong understanding of data architecture, data modelling and schema management principles. Experience ...

Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step … system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Further Info Security Clearance: To be successfully appointed to this role, must be eligible ...

Power BI Microsoft Purview AWS Glue AWS Lake Formation Amazon Redshift Amazon Athena Amazon EMR Amazon S3 SQL, Python, and PySpark CI/CD pipelines and DevOps practices Infrastructure as Code (Terraform preferred) Data Mesh, Master Data Management, and real-time ...

solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise designing and building with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python A working knowledge of Linux, networking, routing ...

experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda ...

capabilities and their application in improving engineering effectiveness and delivery outcomes. Good-to-Have Skills AWS services including EC2, Lambda, Auto Scaling, VPC, ECS, S3, DynamoDB, RDS, IAM, KMS, CloudFormation, CloudWatch, and CloudTrail. Experience with AWS analytics and data services such as Glue, Athena, Crawler, Lake Formation, and Redshift. ...

infrastructure automation and configuration management. Technical Skills: Strong AWS expertise including services such as: EC2 ECS/EKS Lambda RDS VPC Route 53 CloudFront S3 IAM CloudWatch Strong Terraform experience. Experience with Kubernetes and containerized workloads. Experience with GitHub Actions, GitLab CI, Jenkins, or equivalent CI/CD platforms. ...

East Their wider tech stack includes C#/.NET (Framework & Core), plus Node.js for some services TypeScript with Vue.js/React AWS (Lambda, ECS, S3, DynamoDB, RDS), Docker, Terraform, TeamCity, GitHub SQL Server, MySQL, PostgreSQL + Redis The right experience includes: C#/.NET, REST APIs, and AWS (cloud ...

workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling ...

workflows , including message processing and data consistency. Develop automated test scripts to validate: API responses Event flows and triggers Data persistence in DynamoDB/S3 2. Event-driven & Streaming Validation Create and execute test scenarios for: Kinesis stream data ingestion and processing Event orchestration via EventBridge Validate … testing for cloud applications Hands-on experience with: AWS Lambda Amazon EventBridge Amazon Kinesis Data Streams API Gateway DynamoDB and S3 Experience testing event-driven and serverless architectures Test Automation & Tools Experience with: Automation frameworks (Jest framework, Java/Springboot, or similar) API testing tools ...

interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. \n Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual ...

relational DBMS (e.g. Oracle), Hadoop, NoSQL (e.g. Hbase), Columnar DBs (e.g .Amazon Redshift), Graph DBs (e.g. Neo4J), cloud object storage (e.g. Amazon S3), cloud DB as a service (e.g. Amazon RDS) · Understanding of architecture and design concepts for ETL/ELT solutions utilising a range ...

integration, data pipelines, storage systems, relational databases (MySQL), scalability, system reliability, observability, infrastructure as code, serverless deployments, containerisation (Docker), AWS services (Lambda, SQS, EC2, S3), IAM permissions (AWS), DevOps security, CI/CD, CI/CD tools (GitHub Workflows), Git, Python development, Python testing frameworks (pytest, unittest), JavaScript knowledge ...

What We're Looking For Essential 3+ years in an SRE, Platform, or DevOps engineering role AWS services: CloudWatch, X-Ray, Lambda, API Gateway, S3, SQS, Aurora PostgreSQL, DynamoDB, CloudFront, VPC, IAM, Security Groups Python for scripting, tooling, and Lambda development Terraform for Infrastructure as Code GitHub (Actions, workflows ...

knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to henry.clay-davies@searchability.com. For further ...

products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia ...

data, encryption, and secrets management within applications Required Skills AWS & Cloud Hands-on experience developing applications on AWS Understanding of core AWS services (EC2, S3, IAM, VPC, etc.) Familiarity with cloud-native development concepts and deployment models Exposure to Infrastructure as Code (Terraform, Ansible) ECM & OpenText Technologies Experience with ...

support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution. Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora). Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases. Ensure data ...

management skills A platform-engineering mindset, with deep understanding of trade-offs and designing for failure Strong, hands-on AWS experience, including: Lambda, DynamoDB, S3, EventBridge ECS, RDS, AWS SAM Solid networking and security knowledge, including VPCs, security groups and VPNs Technologies You’ll Work With AWS Cloud Services ...

such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines Terraform (desirable) What ...

large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . You will be responsible for defining … within Terraform-managed cloud environments Contribute to continuous improvement initiatives across testing and delivery processes Technology Stack Apache Airflow, Amazon Athena, AWS S3, AWS Glue, AWS EMR, AWS EC2, AWS ECR, AWS DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks ...

delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain a production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite … architect and operate the full lifecycle AWS IAM — advanced; writes least-privilege policies from scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/ ...

interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. Strong skills in conceptual, logical ...

tools such as Claude Code as part of your development process, evaluating outputs and maintaining high engineering standards. Tech Stack : AWS (RDS, S3, DynamoDB, EBS, IAM), Terraform, Ansible, Jenkins, GitLab, Docker, Kubernetes (EKS/ECS), Linux, Python, VPC, ALB, Route 53, security groups. Knowledge of security, obserability, and scalable ...