1 to 25 of 933 Kafka Jobs in the UK

advisor, you will collaborate closely with product management and engineering, serving as a key advocate for Confluent's platform. This role demands expertise in Kafka, distributed systems, and pre-sales engineering, while engaging with cross-functional teams to drive product success and customer outcomes. Ideal candidates may have backgrounds … Time Architectures Understand customer challenges with traditional Data Warehouses, Data Lakes, and Batch Analytics workflows, and guide them toward real-time, distributed architectures using Kafka, Flink, Kafka Streams, and modern ETL/ELT frameworks. Help customers optimize their data platforms by focusing on early-stage data enrichment, filtering … better performance and cost efficiency. Provide Technical Expertise Assist customers and sales teams in designing, deploying, and optimizing real-time data streaming platforms, integrating Kafka with distributed processing, and ensuring alignment with business goals. Architect solutions to unify operational and analytical workloads, enabling a data mesh or streaming-first More ❯

Docker, Kubernetes) Familiarity with front-end frameworks (React, Angular, or Vue.js) Experience with API security and OAuth2 authentication mechanisms Understanding of message queues (RabbitMQ, Kafka) Active contributor to communities of practice Triad's Commitment to You Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative More ❯

React , Angular , or Vue.js for full-stack development is a plus. Event-Driven Architecture: Experience with event-driven architectures or message queuing systems (e.g., Kafka , RabbitMQ ) is beneficial. Education: A degree in Computer Science , Engineering , or a related field is preferred but not required. More ❯

/XML Cloud & DevOps: AWS, Jenkins CI/CD, Kubernetes/Docker, Terraform, Local Stack Data: JPA/Hibernate, PostgreSQL/MongoDB/MySQL, Kafka Architecture: Microservices Architecture (high availability), REST APIs Security: PKIs, KeyCloak, Observability & Monitoring Testing: JUnit (or similar i.e. Mockito), TDD, Integration Tests & End-To-End More ❯

AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS More ❯

AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS More ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

including modules such as Spring Data, Security, and Cloud), Microservice Architecture, and SQL/NoSQL databases. Proficiency with ORM frameworks (e.g., Hibernate), messaging tools (Kafka, Kinesis, Redis), and cloud infrastructure technologies (AWS, Docker, Kubernetes, Terraform). Strong understanding of CI/CD pipelines, observability tools (e.g., DataDog), and Agile More ❯

to manage feature delivery through sprints and scrums Desirable: Familiarity with cloud platforms (AWS, Azure) and containerisation (Docker, Kubernetes) Exposure to messaging systems like Kafka or Solace Financial services background or experience working on large-scale enterprise applications Understanding of SDLC and scalable web application architecture About Barclays Barclays More ❯

to manage feature delivery through sprints and scrums Desirable: Familiarity with cloud platforms (AWS, Azure) and containerisation (Docker, Kubernetes) Exposure to messaging systems like Kafka or Solace Financial services background or experience working on large-scale enterprise applications Understanding of SDLC and scalable web application architecture About Barclays Barclays More ❯

/CD pipelines Proven ability to write clean, testable code Bonus Points: Experience with Kotlin or interest in working with it Messaging tools like Kafka or RabbitMQ DevOps awareness Terraform, Ansible, AWS/GCP/Azure Exposure to NoSQL (MongoDB, Redis) Front-end understanding (React or similar) is a More ❯

working in regulated environments React or frontend experience - not mandatory but useful Kotlin - experience or willingness to work with Kotlin-based services Experience with Kafka, RabbitMQ, or other messaging systems Knowledge of cloud platforms (AWS, GCP, or Azure) Familiarity with DevOps practices and infrastructure as code (Terraform, Ansible, etc. More ❯

Docker, Kubernetes), RESTful APIs, microservices architecture, and big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity More ❯

delivery of mission-critical APIs. The product is heavily API-focused, with minimal UI involvement. Tech Stack: Back-End: Kotlin, Spring Cloud, JUnit, Swagger, Kafka, PostgreSQL (AWS RDS), Redis (AWS), DynamoDB, Docker, AWS Front-End: TypeScript, React, Vite QA Automation: RestAssured, MockServer, JMeter (Java DSL), Playwright, JUnit/TestNG More ❯

from backlog through to production. Willing and eligible to obtain UK security clearance to Security Check (SC) if required. Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk). Experience using logging to derive application insights. Consideration of non More ❯

from backlog through to production. Willing and eligible to obtain UK security clearance to Security Check (SC) if required. Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk). Experience using logging to derive application insights. Consideration of non More ❯

from backlog through to production. Willing and eligible to obtain UK security clearance to Security Check (SC) if required. Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk). Experience using logging to derive application insights. Consideration of non More ❯

development processes, collaborate with cross-functional teams, and contribute to continuous improvement initiatives. Desirable Exposure to cloud platforms (AWS, Azure, GCP) and messaging tools (Kafka, Solace) Experience with containerisation (e.g., Docker, Kubernetes) Background in financial services or enterprise-grade applications Understanding of SDLC and web application architecture More ❯

with scripting languages including Bash, Perl, Python or Go. Familiar with Agile ways of working. Strong communication skills Nice to have: Working knowledge of Kafka/Docker/Jenkins/Postgres/Liquibase/Java NPPV3 Clearance If interested, with relevant experience, please apply with your latest CV ASAP. More ❯

in any of the following technologies is a plus: Languages & Frameworks: Java, Spring Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team More ❯

in any of the following technologies is a plus: Languages & Frameworks: Java, Spring Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team More ❯

development experience Experience of designing distributed systems, microservices, micro-frontend UIs Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of following TDD and passionate about clean code principles Proficiency in programming in Java More ❯

Required Expertise: Extensive and deep expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka. Solution architect with broad expertise in a wide More ❯

Skills: Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. More ❯