11 of 11 Amazon S3 Jobs in West Yorkshire

cloud-native architectures. You'll collaborate with cross-functional teams to deliver high-impact solutions that drive business value. Requirements: Experience as a Data Engineer using AWS: Glue, Lambda, S3, Redshift, Athena, EMR. Snowflake experience (Not essential) Strong Python SQL & NoSQL databases CI/CD tools : GitHub Actions or CodePipeline Infrastructure as Code (Terraform is preferable) Experience building ETL More ❯

Terraform modules to deploy infrastructure for Databricks clusters and supporting services on AWS EC2-based Databricks E2. Manage infrastructure-as-code to provision resources such as AWS IAM roles, S3 bucket permissions, and Jenkins agents. Ensure the new infrastructure supports automated deployment pipelines for 8,000+ test cases, notebooks, and services. CI/CD Pipeline Development Develop and enhance … production environments. Required Skills & Experience: 48 years of experience in platform engineering, DevOps, or infrastructure roles in cloud-native environments. Strong experience with AWS services including EC2, IAM, ECR, S3, and Autoscaling. Deep knowledge of Databricks, including workspace setup, instance profiles, notebook CI/CD, and Delta Lake capabilities. Hands-on with Terraform for infrastructure provisioning and GitLab/ More ❯

experience. Strong command of TypeScript and modern JavaScript (ES6+). Know your way around state management (Redux or Context API). React Native experience? Even better! AWS knowledge (Lambda, S3) is a nice-to-have. Git mastery and familiarity with CI/CD pipelines. Sharp problem-solving skills with an eye for detail. CSS and Design patterns As a More ❯

organisation-wide initiatives and capability building Required Experience & Skills: 16+ years’ experience as an solution architecture Proven technical leadership in Spring Boot, Node.js, REST APIs and AWS (including Lambda, S3, RDS, EventBridge, ECS Fargate, Secret Manager, API Gateway etc). Experience designing event-driven, microservices-based architectures and working with event stores. Demonstrable experience delivering complex solutions for private More ❯

decisions. Key Experience Required: Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including More ❯

as domain-driven design, event-driven systems, micro-frontends, and microservices. Ability to lead and partner with internal and external technical resources. Experience with cloud services including AWS EC2, S3, SQS, Lambda, RDS, and Grafana. Knowledge of web security practices including XSS, CSRF, and secure coding standards. Strong communication, interpersonal, and presentation skills suitable for diverse audiences. Learn more More ❯

RESTful architecture Proven ability to mentor and uplift teammates technically Excellent problem-solving skills and the ability to work independently Bonus Experience Knowledge of AWS services (e.g., EC2, RDS, S3) Familiar with Docker/containerisation and orchestration Experience with test automation (PHPUnit, Pest) Understanding of microservices or event-driven architectures The Perks Flexible working: remote-first with optional hybrid More ❯

team of engineers, and work closely with cross-functional teams to deliver high-impact data solutions. Key Responsibilities: Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow) Lead the migration and optimisation of data workflows into Snowflake. Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data. Define and enforce best practices … junior engineers and contribute to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt More ❯

The client operates with a hybrid working model, with two days per week in their Manchester office. Responsibilities: -Design, build, and maintain data pipelines using AWS services such as S3, Glue, Lambda, and Redshift. -Implement data governance and security best practices to ensure data quality and compliance. -Collaborate with cross-functional teams to understand data requirements and deliver effective … Stay up-to-date with the latest AWS technologies and trends. Requirements: -3+ years of experience as a data engineer. -Strong proficiency in AWS data services such as S3, Glue, Lambda, and Redshift. -Experience with data modelling, ETL processes, and data warehousing concepts. -Proficiency in SQL and Python. Benefits: -Competitive salary, benefits package and discretionary bonus. -Opportunity to More ❯

with analysts, engineers, and product teams to support data needs Supporting best practices in data governance, quality, and security What We're Looking For: Strong experience with AWS Glue , S3, Lambda, and related services Proven track record in data engineering or ETL development Proficiency in Python or PySpark for data processing Familiarity with data lake, data warehouse, and cloud More ❯

with cross-functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and More ❯