1 to 25 of 33 Amazon Kinesis Jobs in the UK excluding London

web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript, with a bonus if More ❯

For Extensive hands-on experience in backend development with Node.js & TypeScript . Solid expertise with AWS services (ECS, Lambda, RDS, DynamoDB, SQS, SNS, S3, Kinesis, etc.). Proficiency in infrastructure as code ( Terraform, Docker ). Experience working with Postgres/MySQL databases. A problem solver who takes ownership and More ❯

action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving abilities and More ❯

action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving abilities and More ❯

action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving abilities and More ❯

action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving abilities and More ❯

Spring Boot) Front-End (React or similar) React Native Docker Experience building CI/CD pipelines API Development, NodeJS AWS cloud infrastructure High volume kinesis data streaming processing and DynamoDB The Benefits? (Skinny) 25 days holidays Bi-annual personal development reviews Hybrid working Loads of others.. get in touch More ❯

skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified More ❯

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS More ❯

experience in Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient More ❯

REST based APIs for internal and external data delivery. Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a More ❯

as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create efficient data pipelines. Collaborate with engineering teams to More ❯

build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software More ❯

have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯

enterprise data and one other business domain. Building and orchestrating data pipelines and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Knowledge of data governance, privacy regulations (e.g. GDPR), and security best practices. Delivering data engineering and designing for cloud native More ❯

ever-greater contribution to our product experience. You'll typically be working in Java or Python, and with a technology stack that includes AWS, Kinesis, S3, Kubernetes, Spark, Airflow, gRPC, New Relic, Databricks, and more. This role requires expertise in distributed systems, microservices, and data pipelines, combined with a More ❯

like Power BI or Superset Energy‑sector exposure (trading, flexibility markets, renewables, grid optimisation) Kubernetes & container orchestration for model serving Event‑driven stacks (Kafka, Kinesis, Event Hubs) Open‑source contributions, public speaking, technical blogging Formal certifications (AWS Professional/Azure Expert/TOGAF, etc.) Other Desirable Experience Building or More ❯

an agile environment Solid grasp of data security, access control, and compliance principles Exposure to real-time or streaming systems such as Kafka or Kinesis Knowledge of ML infrastructure or working with data for predictive modelling Comfort with infrastructure automation tools like Terraform or Kubernetes If this role interests More ❯

of stakeholders. Desirable: Experience using Terraform and Github specifically for CI/CD. Experience with AWS Data Lakes including Lake Formation. Experience with AWS Kinesis/Firehose for real-time data pipelines. Experience of rail, airline or leisure industry. What you'll get: Free travel on LNER + More ❯

AWS managed services Maintaining and enhancing existing services written in Node, Java, and Kotlin Developing scalable, high-performance applications using AWS cloud technologies, including Kinesis for real-time data streaming Building and maintaining front-end applications using React (or similar frameworks) and TypeScript Writing clean, maintainable, and efficient code … in Golang for backend development Experience with AWS-managed services, particularly event-driven architectures, serverless, and real-time data processing (Lambda, SQS, SNS, DynamoDB, Kinesis, etc.) Strong understanding of RESTful microservice architectures Hands-on experience with React and TypeScript (or similar front-end frameworks) Familiar with git or other More ❯

AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and implement effective database solutions, ensure compliance More ❯

in Databricks , Spark , Python , PySpark , and Delta Live Tables . Experience designing and delivering scalable data pipelines and streaming data processing (e.g., Kafka , AWS Kinesis , or Azure Stream Analytics ). Background in cloud environments such as AWS , Azure , or GCP . Familiarity with DevOps tools: Terraform , GitHub , CI/ More ❯

The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of: AWS Kinesis Databricks DLT PowerBI/Fabric SQL Server On a day-to-day basis, you will: Develop and maintain new and existing data pipelines. Collaborate More ❯

e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a More ❯

pipeline to deliver high-velocity, production-ready systems This Role Requires: Strong Java skills Experience with live-streaming technologies such as Kafka, Flink or Kinesis Solid understanding of event-driven architecture Experience with CI/CD practices and tools Familiarity with microservices and modern cloud-based platforms Exposure to More ❯