2,676 to 2,700 of 2,871 AWS Jobs in England

hours travel time of Brighton. We get together monthly as a company and attending these meetings is mandatory. Nice to haves Experience with AWS services, particularly S3 & ECS Experience with Git and continuous integration tools Experience with Heroku Tech Stack Ruby on Rails 8 Ruby 3.4+ Stimulus/Javascript OpenAI …/Claude LLMs Docker Terraform AWS Heroku Elasticsearch Day to day activities Carry out development tasks as part of 6-week development cycle Plan and architect solutions to medium to large scale product enhancements Answer support queries from clients and internal colleagues Perform code reviews of your peer’s work ...

their SaaS platform as required. The Role This is an opportunity to be part of a Software Engineering team using the following technology: TypeScript AWS/Lambda Serverless Architecture Symfony/Laravel Step Functions OpenSearch DynamoDB ElastiCache S3 & EC2 EventBridge API Gateway CloudFormation React Coding in TypeScript, Node … experience Object Oriented Software Development, preferably in PHP, TypeScript or Node Software Design Patterns and their implementation Ideally have experience in cloud engineering, preferably AWS or similar If this role is of interest, then please apply with your CV for immediate interview. ...

disciplined budget and cost management. Key Skills Extensive experience designing, developing, and supporting infrastructure and cloud-hosted environments across platforms such as Azure and AWS , Hands-on experience managing cloud-based enterprise applications including Microsoft 365, SharePoint, Power BI, ERP platforms (D365 and SAP), HR systems (SuccessFactors), and learning systems … supervising IT teams, delivering high-quality customer support, and managing third-party and outsourced service providers Exposure to a broad technology stack - SAP, Azure, AWS, SQL, web services, OKTA, Office 365, WAN acceleration and security Demonstrate strong financial acumen, the ability to inspire diverse, geographically distributed teams, and a commitment ...

sales team by providing technical expertise and solutions tailored to client needs. The position requires a strong understanding of technical concepts (particularly around AWS, GCP and Azure) and effective communication to bridge the gap between technical teams and clients. Client Details The company is a well-established Tech and Data … sales to implementation phases. Profile A successful Technical Pre-sales Consultant should have: A strong knowledge of cloud-based and hybrid solutions using AWS, Azure and GCP. Proven experience in a pre-sales or technical sales support role. Excellent communication and presentation skills to engage with diverse audiences. Solid technical ...

with modern data platform experience. Key Responsibilities Own global tech strategy for distribution data and client reporting platforms Lead cloud-based data solutions using AWS and Snowflake Modernise client and investor reporting (performance, attribution, ESG) Lead sales, marketing, and digital engagement data platforms Partner with data science teams on analytics … influence senior stakeholders Required Experience Strong technology leadership background (consulting experience a plus) Experience in asset management data platforms (distribution, sales, reporting) Hands-on AWS and Snowflake experience Modern data engineering and platform design (APIs, microservices, CI/CD, IaC) Client/investor reporting systems experience (e.g. Coric, Vermilion - beneficial ...

integrity, and overall system reliability. Architect and deliver solutions utilising CQRS (Command Query Responsibility Segregation) and Event Bus patterns, with a strong focus on AWS-based publish/subscribe architectures Collaborate closely with developers, product managers, and key stakeholders to gather and refine requirements, provide insights, and ensure software quality … throughout the development lifecycle Technical Skills: .NET Development (C#) Unit Testing & Integration Testing CI/CD Pipeline Development AWS Services Modern JavaScript Frameworks - Angular REST APIs Postman for API Testing SQL Server Benefits Package: 25 days holiday + Bank holidays Competitive base salary Hybrid Working Pension Contribution Salary sacrifice schemes ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...