1 to 25 of 115 Remote/Hybrid AWS Jobs in Manchester

Data Engineer (AWS) - Manchester (Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client is a global innovator and world leader with … business intelligence. We are seeking a Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance ...

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client is a global … intelligence. We are seeking a Senior Data Engineer capable of taking ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will also be contributing to Cloud migration and implementing architectural solutions, as well as ensuring data quality and integrity and providing technical guidance ...

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Who You'll Be Working With As an AWS Data Solution Architect at Capgemini, you will design and lead the delivery of modern data platforms that enable analytics, AI, GenAI, and data driven decision making … customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake Please Note: Security Clearance: To be successfully appointed to this role, must be eligible ...

Analysts focused on driving our customersdigital and data transformation using modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, including API/microservices patterns and data platforms such as AWS-native analytics services and Snowflake. As an AWS API Engineer/… about your citizenship in the application process. The Focus of Your Role You will be an integral part of teams delivering modern digital services on AWS, with primary responsibility for API and microservices architecture and system integration. You will design RESTful APIs and service boundaries, define integration standards, and collaborate ...

customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will … Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data 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 ...

architecture and operations Helm charts, Kustomize Security & Compliance: Identity and Access Management (IAM) ( eg Microsoft Entra/Azure AD) Secrets management (Key Vault, AWS Secrets Manager) Secure code life cycle (Sonarcloud, Checkmarx) DevOps & Automation Skills: CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab CI, Octopus) Proficiency with Git version ...

scripting tools such as Python, PowerShell and CI/CD tools for automation Have good experience of using Cloud solutions such as Azure & AWS and containerized environments (Kubernetes, OpenShift) to implement cloud-native monitoring Have good knowledge of ITSM/incident management tools integration. Interacts with and influences colleagues ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere ...

JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. ...

strategy, reusable assets, and internal standards What We're Looking For Proven experience in a Senior Cloud/Platform Engineering role Strong expertise in AWS and/or Azure environments Advanced experience with Infrastructure as Code (Terraform preferred) Solid experience with Git-based version control (e.g. GitHub) Strong knowledge ...

standards. Strong practical experience of public cloud technologies and cloud-native design including hosting, containerisation and networking patterns with proficiency across platforms such as AWS, Microsoft Azure and Google Cloud Platform (GCP). Solid understanding of Agile delivery methodologies with proven application of best practices in complex cross-functional technology ...

clients Contributing to architecture decisions and engineering best practices Supporting the deployment and monitoring of ML applications in production Tech environment includes: Python AWS/Azure/GCP Kubernetes & Docker FastAPI Infrastructure as Code CI/CD pipelines ML frameworks such as PyTorch/TensorFlow What they’re looking ...

broad knowledge across the following Security Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. • AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment ...

Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering ...

have built a representative and welcoming environment, for everyone. Your skills and experience A proven track record in platform engineering, particularly with: Azure/AWS, Infrastructure as Code and VCS (GitHub). A background in infrastructure and networking would be advantageous, as would experience working in an Agile manner, Terraform ...

another high-performing, large-scale technology environment Strong understanding of software architecture, microservices and event-driven systems Experience working with cloud platforms such as AWS, GCP or Azure Excellent problem-solving and communication skills Passion for engineering excellence and delivering high-quality software What's On Offer Salary ...

Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven ...

Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This ...

patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we’re different At Capgemini, we help organisations across the world become more agile, more ...

team engagement. A passion for outcome driven delivery, continuous improvement and pragmatic innovation. Technical expertise we value: .NET, Angular/React/Vue, AWS (or equivalent cloud platforms), test automation, microservices, APIs and object oriented programming. About AJ Bell AJ Bell is one of the UKs fastest growing investment platforms ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere ...

Strong software engineering background in C#, Java, Python, or Go Previous experience leading or managing engineering teams Experience working with cloud platforms such as AWS Knowledge of Infrastructure as Code tools such as Terraform Experience with TDD and automated testing practices Strong stakeholder management and communication skills A collaborative leadership ...

provide training in: .NET 10.0, ASP.NET Core, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. This is your opportunity to be part of a new, technically challenging project ...

mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering ...