26 to 50 of 60 Amazon Kinesis Jobs in England

range of disciplines and skill levels. • Experience working with Identity and Access Management systems. • Knowledge of AWS cloud infrastructure and services. Including experience with AWS; CDK, CloudFormation, Lambda, EC2, Kinesis, WAF, ALB. • Experience working on zero down time systems and providing live support in the event of service disruption. If you can bring some of these skills and experience More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching More ❯

balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Whats it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their More ❯

What you'll be doing - your accountabilities Lead the design and implementation of robust, scalable, and secure data solutions using AWS services such as S3, Glue, Lambda, Redshift, EMR, Kinesis, and more-covering data pipelines, warehousing, and lakehouse architectures. Drive the migration of legacy data workflows to Lakehouse architectures, leveraging Apache Iceberg to enable unified analytics and scalable data More ❯

automated tests to ensure the quality and reliability of our cloud-based applications. Requirements : Java, Java Springboot , JEST ( good to have ) , typescript ( good to have) , AWS services knowledge ( Lambda, kinesis stream, SQS, Eventbridge) , BDD framework cucumber ( good to have ), CI/CD pipelines and DevOps practices. Key Responsibilities: Design, develop, and execute automated tests using the Java Springboot framework. More ❯

automated tests to ensure the quality and reliability of our cloud-based applications. Requirements : Java, Java Springboot , JEST ( good to have ) , typescript ( good to have) , AWS services knowledge ( Lambda, kinesis stream, SQS, Eventbridge) , BDD framework cucumber ( good to have ), CI/CD pipelines and DevOps practices. Key Responsibilities: Design, develop, and execute automated tests using the Java Springboot framework. More ❯

successes to team members and Product Owners. Has experience of people management or desire to manage individuals on the team Nice to Have Experience with some of these- Kafka, Kinesis, Kinesis Analytics, Glue, Lambda, Kubernetes, ETL pipelines, BigQuery, Dataflow, BigTable, and SQL Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent problem-solving and analytical skills Whilst having More ❯

implementing API service architecture Experience in working with a relational database Experience provisioning infrastructure with Terraform and Cloud Formation Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis Effective communication and collaboration skills to be able to partner with business stakeholders and other technical teams AWS and Java Certifications External applicants will be required to perform a More ❯

may be a fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern More ❯

languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases andBuild and maintain SLAs, SLOs, and SLIs More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent problem-solving and analytical skills Whilst having More ❯

advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including 2+ years in a leadership or management role Experience designing and operating More ❯

data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage More ❯

languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases andBuild and maintain SLAs, SLOs, and SLIs More ❯

ensuring data is accurate, accessible, and actionable. Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem. Champion Data Governance More ❯

ensuring data is accurate, accessible, and actionable. Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation's analytics ecosystem. Champion Data Governance More ❯

talent and fostering a culture of learning and ownership Nice to Have Experience with Data Mesh or Data Lake architectures Familiarity with Kubernetes , Docker, and real-time streaming (Kafka, Kinesis) Exposure to ML engineering pipelines or MLOps Interested? If you're ready to lead a team at the forefront of data innovation in a mission-driven scale-up, apply More ❯

Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR. Bonus More ❯

the Data Platform by designing and building the next generation of the stack. Develop, run and support our batch and real-time data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS. Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs. Develop automation and tooling to More ❯

Proficient in data technologies like MySQL , Hadoop , or Cassandra . Experience with batch processing , data pipelines , and data integrity practices. Familiarity with AWS services (e.g., RDS, Step Functions, EC2, Kinesis) is a plus. Solid understanding of unit , integration , and E2E testing paradigms. Prior experience in FinTech, Financial sector, Banking or Payment system. Awareness of security best practices (authentication, authorization More ❯

as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage , Azure Data Factory. Knowledge of data modelling , ETL processes, and data warehousing principles. Preferred Skills Strong More ❯

Senior Cloud Architect, Global Accounts, AWSI Professional Services Job ID: Amazon Web Services Australia Pty Ltd Would you like a career that gives you opportunities to help the largest Global customers and partners innovate and transform on Amazon Web Services? Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold … DevOps transformations. Key job responsibilities Expertise: Collaborate with AWS field business development, marketing, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Kubernetes Service (EKS), Amazon Simple Storage Service (S3), Amazon RDS databases, AWS Identity and Access Management (IAM), etc. Solutions: Define … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

with front-end applications (e.g., React, Nuxt, Vue) Collaborate closely with product teams to translate functional requirements into technical solutions Cloud-Native Development: Design and deploy containerized services with Amazon EKS (Elastic Kubernetes Service), focusing on scalability, resilience, and service orchestration Build cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS, and EventBridge Develop robust … applications Strong coding skills in Node.js and Python Solid experience with AWS application services (Lambda, API Gateway, Step Functions, DynamoDB, etc.) Production experience deploying and managing containerized services on Amazon EKS Proven ability to design and build modern, API-driven systems in a scalable resilient cloud-based platform Experience developing or integrating data processing systems (batch or streaming) and … business value early and often. Desirables: Experience with modern front-end frameworks and API integration (React, Vue, Angular) Familiarity with message-based architectures and tools like RabbitMQ, Kafka, or Kinesis Demonstrable experience building LLM backed systems and applications Understanding of regulatory and compliance frameworks (e.g., PCI, ISO 27001, SOC 2, GDPR) and how to apply them in software and More ❯

with front-end applications (e.g., React, Nuxt, Vue) Collaborate closely with product teams to translate functional requirements into technical solutions Cloud-Native Development: Design and deploy containerized services with Amazon EKS (Elastic Kubernetes Service), focusing on scalability, resilience, and service orchestration Build cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS, and EventBridge Develop robust … applications Strong coding skills in Node.js and Python Solid experience with AWS application services (Lambda, API Gateway, Step Functions, DynamoDB, etc.) Production experience deploying and managing containerized services on Amazon EKS Proven ability to design and build modern, API-driven systems in a scalable resilient cloud-based platform Experience developing or integrating data processing systems (batch or streaming) and … business value early and often. Desirables: Experience with modern front-end frameworks and API integration (React, Vue, Angular) Familiarity with message-based architectures and tools like RabbitMQ, Kafka, or Kinesis Demonstrable experience building LLM backed systems and applications Understanding of regulatory and compliance frameworks (e.g., PCI, ISO 27001, SOC 2, GDPR) and how to apply them in software and More ❯