226 to 250 of 430 Amazon S3 Jobs in the UK

experience working in a commercial environment, agreat understanding of Java and Spring Boot, and wider experience in different tools and frameworks and across the stack. AWS experience (SNS, SQS, S3, DocumentDB, etc) Kubernetes experience is desirable An enthusiasm for broadening your skillset and learning new technologies Commercial experience working with agile methodologies. Experience dealing with challenges from stakeholders on More ❯

an eye for detail. What We're Looking For - Skills & Experience Bachelor's degree in Computer Science or equivalent experience Deep experience with AWS in production environments, including EC2, S3, IAM, EKS, and RDS Hands-on experience managing Kubernetes clusters and deploying applications Strong Linux expertise and system-level troubleshooting skills Solid understanding of system administration, security best practices More ❯

and data governance processes to enable confident data self-service. Support monitoring, testing, and validation efforts to maintain data quality and reliability. Work with cloud infrastructure services, mainly AWS (S3, Glue, Lambda), and use Python scripting for automation where needed. Help identify opportunities to improve data processes, scalability, and usability. What You Bring 2-4 years experience in analytics More ❯

Administrator (DBA) Strong SQL skills and experience with database optimisation and performance tuning Strong practical skills in PHP, Python, SQL. At least 5 years' experience using Athena, Glue, RDS, S3, Linux scripting Experience with data modelling, data wrangling, schema design, and database security best practices Ability to manage large, complex datasets and troubleshoot data issues Strong problem-solving skills More ❯

engineering, including: Snowflake (data warehousing and performance tuning) Informatica (ETL/ELT development and orchestration) - nice to have Python (data processing and scripting) - required AWS (data services such as S3, Glue, Redshift, Lambda) - required Cloud data practices and platform - AWS required Basic knowledge of related disciplines such as data science, software engineering, and business analytics. Proven ability to independently More ❯

transformation journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data More ❯

additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned More ❯

additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned More ❯

For roles requiring Dreyfus Rating - Internal applicants only: technical proficiency of competent on the Dreyfus engineering scale. Preferred Requirements Hands-on experience with AWS services, especially Lambda, SQS and S3 Solid experience with big data frameworks, preferably Apache Spark Strong understanding of distributed systems, event-driven architecture and cloud-native development Advanced proficiency in Java and Python Physical and More ❯

Competencies 10+ years of experience in data architecture, with a focus on secure, large-scale and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data More ❯

understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you'll be doing: Research and develop solutions to complex business problems, working with large, unstructured More ❯

Competencies 10+ years of experience in data architecture, with a focus on secure, large-scale and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data More ❯

computing and DevOps methodologies. Perform other duties as assigned. What Will Our Ideal Candidate Have? Experience as a DevOps Engineer. Strong proficiency in cloud technologies, particularly AWS (e.g., EC2, S3, Lambda, RDS, IAM, SNS, SQS). Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Amazon EKS. Proficiency in scripting languages such More ❯

Jenkins, AWS CDK, CloudFormation, Terraform. MUST HAVE SNOWFLAKE, AWS Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the … data engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable More ❯

of hosting web applications including use of CDNs, load balancers and web servers, preferable Fastly, Citrix & IIS. • Familiar with network storage technologies, such as NetApp and Amazon S3, including setup, management, and optimization. • Knowledge of MSSQL database environments is advantageous. • Proven experience with virtualization platforms, including VMware, Hyper-V, and XEN, supporting scalable, resilient systems. • Experience managing More ❯

in the organization Qualifications Understanding of data engineering (including SQL, Python, Data Warehousing, ETL, Dimensional Modelling, Analytics) Understanding of cloud data infrastructure elements, and ideally AWS (Redshift, Glue, Athena, S3) and understanding of existing governance frameworks of data quality and their dimensions (DAMA, GOV.UK, etc.). Experience in Exploratory Testing, automation experience, and time and attention management between multiple More ❯

languages (Kotlin, Scala) Experience with Kafka or a similar platform. Experience working in Agile DevSecOps environments and Zero Trust Architecture Integrating with backing services, such as PostgreSQL, Redis or S3 Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews Using GitHub/GitLab/Atlassian Suite for source control Test Driven Development More ❯

languages (Kotlin, Scala) Experience with Kafka or a similar platform. Experience working in Agile DevSecOps environments and Zero Trust Architecture Integrating with backing services, such as PostgreSQL, Redis or S3 Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews Using GitHub/GitLab/Atlassian Suite for source control Test Driven Development More ❯

You'll Do: Architect and Build: Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience. (Required) Data Lake , Data Zone, Data Governance: Design More ❯

shipping to production from week one. Technical Our tech stack is primarily implemented in Python and hosted on AWS, incorporating technologies such as Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3 and Terraform, and we deploy daily. While familiarity with these technologies is preferred, it's not mandatory; what matters most to us is your commitment to maintaining high engineering More ❯

maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). * Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. * Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. * Ensure data architecture complies with government standards for security More ❯

services and Databricks; understanding of ML Ops is highly beneficial. Ability to adapt quickly to new tools and deliver scalable solutions independently. Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plus. Note: Some irrelevant content and personal opinions were removed for clarity and focus. This job posting is active and available. More ❯

Experience using configuration management and infrastructure as code such as Ansible and Terraform Experience with containers using both Docker and Kubernetes Strong AWS Platform Engineering skills in particular; EC2, S3, IAM and VPC/network configuration Experience with VMWare is a bonus, especially vSphere, NSX, VCF Comfortable working in a fast paced, lean and deadline driven organisation. Able to More ❯

Good understanding of software engineering principles, REST APIs, and asynchronous programming Experience with modern frontend development, ideally withReact Nice to Have: Experience withNestJS Cloud experience withAWSservices (Lambda, API Gateway, S3, etc.) Exposure to payments or fintech environments This role is 3 days on site in central London and offers a quick 2 - 3 stage interview process with interview slots More ❯

Good understanding of software engineering principles, REST APIs, and asynchronous programming Experience with modern frontend development, ideally withReact Nice to Have: Experience withNestJS Cloud experience withAWSservices (Lambda, API Gateway, S3, etc.) Exposure to payments or fintech environments This role is 3 days on site in central London and offers a quick 2 - 3 stage interview process with interview slots More ❯