226 to 250 of 263 Amazon S3 Jobs in the UK excluding London

architecture through deployment and introduce modern engineering standards across the team. Key Responsibilities * Architect and develop applications using React, Node.js, Python and AWS (Lambda, S3, Redshift). * Integrate internal platforms with CRM and external partners via REST APIs. * Implement CI/CD, version control and testing frameworks to professionalise … builds. Candidate Profile * 5 + years as a Full Stack Developer with expertise in React and Node.js. * Strong knowledge of AWS services (Lambda, S3, EC2, Redshift). * Experience building and consuming APIs and integrating applications with CRM or data systems. * Background in Agile software development and mentoring junior engineers. ...

enhancing the company's infrastructure and tooling strategy. Implementing and improving Infrastructure as Code (IaC) with Terraform Working across AWS services - particularly IAM, S3, EKS Managing containerisation and orchestration. Delivering robust monitoring and alerting solutions Contributing to and maintaining CI/CD pipelines Driving ISO 27000 implementation and supporting … such as vulnerability scanners, endpoint protection, SIEM, and cloud security monitoring solutions Requirements: Extensive experience in a DevOps team lead role using AWS, (IAM, S3, EKS). Experience with IaC such as Terraform.. Cloud formation/CDK is desirable. Expert knowledge in containerisation and orchestration technologies such as Docker ...

systems. Implement and enforce best practice in CI/CD, testing, code review, and version control. Develop secure, reliable cloud infrastructure across AWS Lambda, S3, Glue, and Redshift. Mentor developers, set standards, and lead by example through high-quality hands-on coding. Contribute to strategic initiatives including … visible impact. You'll bring: 5+ years of full-stack experience in JavaScript (Node.js/React) and Python. Strong cloud background, ideally AWS (Lambda, S3, Glue, Redshift). Proven ability to design and deploy scalable web and data systems. Understanding of CI/CD, automated testing, and version control ...

ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build … Python; passion for code quality and testing. Demonstrable experience applying GenAI concepts to front-office/capital markets environments. Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Passion for being hands-on while enabling and growing a small ...

ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build … code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Experience working in a fast-paced front-office environment in either engineering ...

other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise … Microsoft Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments ...

Contribute to improving developer workflows and tooling (GitHub, GitHub Actions, Slack, Linear, Sentry, SolarWinds) Learn about and contribute to infrastructure (Docker, AWS ECS, RDS, S3, SES, CloudFront, CDK) with support from senior teammates. What we are looking for: Proven experience shipping fullstack features in a product-driven team String … skills with React, TypeScript, Node.js, and PostgreSQL Working knowledge of AWS services (ECS, RDS, S3, CloudFront, etc. Hands on with modern workflows and tooling, for example GitHub, GitHub Actions, Linear, Sentry Ability to scope medium sized tasks, estimate, and deliver end to end within established patterns Eagerness to learn ...

will design, build, and maintain resilient, automated data pipelines that fuel reporting, analytics, and performance management across the organisation. Working with modern AWS technologies (S3, Glue, Redshift, Spectrum), you'll help shape an open, data-driven culture and ensure high-quality, reliable data is available to stakeholders. This role … including CI/CD principles. Skills & Experience Required: Proven experience using Talend Data Integration in a data engineering role. Strong knowledge of AWS services (S3, Glue, Redshift, Spectrum). Solid SQL skills and experience in data warehousing and ETL best practices. Experience working with REST/SOAP APIs ...

Works and define project scope Document systems integrations, API behaviour, data flows, and authentication patterns Analyse AWS solutions including RDS, Lambda, Cognito, and S3 Produce technical documentation: integration guides, sequence diagrams, API specs Support serverless workflows and event-driven architectures Facilitate collaboration between business and technical teams Drive user … acceptance testing and solution effectiveness Technical Business Analyst Requirements Strong knowledge of AWS cloud services (RDS, Lambda, Cognito, S3) Experience delivering complex projects using agile methodologies Ability to create technical artefacts: sequence diagrams, data flows, API specifications Hands-on SQL experience and understanding of data structures Proficiency with requirements ...

Designing and building scalable ingestion pipelines into Snowflake. Mentoring junior engineers and supporting team development. Working with tools such as Jira, Azure DevOps, AWS S3 (for file storage), and DBT (nice to have). Tech Stack & Skills Essential: Strong SQL and Python skills Solid experience with Snowflake 3+ years … stakeholders Strong soft skills and the ability to contribute to senior-level discussions Nice to Have: Fundamental understanding of DBT Experience with AWS (especially S3), Azure DevOps, Jira Experience with data governance and regulatory reporting ...

What You'll Work With C# and .NET 10+ (Minimal APIs, Blazor) Modern frontend: Svelte, Solid, HTMX, Astro, Tailwind CSS MSSQL Server AWS services (S3, CloudFront, Lambda, CloudWatch, WAF) Legacy codebase (VB.NET, .NET Framework 4.8.1, WebForms). We're migrating away and should be done within 12 months … etc.) Regular socials Pension scheme Employee Discount Free Parking Excellent mentorship and career development Private medical insurance (activated after probation), with rewards including: Amazon Prime Membership Weekly drink at Café Nero Up to 50% off gym memberships: PureGym, Virgin Active, Nuffield Health Discounted Apple watch ...

Designing and building scalable ingestion pipelines into Snowflake. Mentoring junior engineers and supporting team development. Working with tools such as Jira, Azure DevOps, AWS S3 (for file storage), and DBT (nice to have). Tech Stack & Skills Essential: Strong SQL and Python skills Solid experience with Snowflake 3+ years … stakeholders Strong soft skills and the ability to contribute to senior-level discussions Nice to Have: Fundamental understanding of DBT Experience with AWS (especially S3), Azure DevOps, Jira Experience with data governance and regulatory reporting ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...

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, security … 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 Engineering: Proven experience in ETL/ELT pipeline ...