1 to 25 of 994 Kafka Jobs in England

Job Title: Kafka Architect- Cloudera Location: Leeds (2days/week Onsite) Duration: 06+ … Months Job Summary: We are looking for an experienced Kafka Architect to design and implement scalable, high-throughput data streaming solutions using Apache Kafka on Cloudera (on-premises). The ideal candidate will have a strong background in distributed systems, data pipelines, and real-time data processing. Key … tools like Ansible, Terraform, or Cloudera Manager. -Provide technical leadership and mentorship to junior team members. Required Skills: -Strong hands-on experience with Apache Kafka (including Kafka Connect, Kafka Streams). -Experience with Cloudera distribution for Kafka on on-premises environments. -Proficiency in designing high-volume More ❯

Job Title: Kafka Architect- Cloudera Location: Leeds (2days/week Onsite) Duration: 06+ … Months Job Summary: We are looking for an experienced Kafka Architect to design and implement scalable, high-throughput data streaming solutions using Apache Kafka on Cloudera (on-premises). The ideal candidate will have a strong background in distributed systems, data pipelines, and real-time data processing. Key … tools like Ansible, Terraform, or Cloudera Manager. -Provide technical leadership and mentorship to junior team members. Required Skills: -Strong hands-on experience with Apache Kafka (including Kafka Connect, Kafka Streams). -Experience with Cloudera distribution for Kafka on on-premises environments. -Proficiency in designing high-volume More ❯

Job Title: Kafka Architect- Cloudera Location: Leeds (2days/week Onsite) Duration: 06+ … Months Job Summary: We are looking for an experienced Kafka Architect to design and implement scalable, high-throughput data streaming solutions using Apache Kafka on Cloudera (on-premises). The ideal candidate will have a strong background in distributed systems, data pipelines, and real-time data processing. Key … tools like Ansible, Terraform, or Cloudera Manager. -Provide technical leadership and mentorship to junior team members. Required Skills: -Strong hands-on experience with Apache Kafka (including Kafka Connect, Kafka Streams). -Experience with Cloudera distribution for Kafka on on-premises environments. -Proficiency in designing high-volume More ❯

Good understanding of cloud technologies (AWS, GCP, Azure, etc.) Good understanding of security frameworks/standards Good understanding of data streaming and messaging frameworks (Kafka, Spark, etc.) Good understanding of distributed tracing and monitoring (Zipkin, OpenTracing, Prometheus, ELK stack, Micrometer metrics, etc.) Good understanding of containers (Docker, Kubernetes, Helm 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 ❯

critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation , or AWS CDK . Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems). We also offer: An employer pension scheme 25 days holiday + 8 bank holidays, with the option More ❯

critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation , or AWS CDK . Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems). We also offer: An employer pension scheme 25 days holiday + 8 bank holidays, with the option More ❯

across functions. Desirable/Advantageous Skills Exposure to cloud technologies (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with messaging systems like Kafka or RabbitMQ. Interest or academic exposure to financial services, especially payments and transaction banking. Experience working in a regulated environment or large-scale enterprise More ❯

across functions. Desirable/Advantageous Skills Exposure to cloud technologies (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with messaging systems like Kafka or RabbitMQ. Interest or academic exposure to financial services, especially payments and transaction banking. Experience working in a regulated environment or large-scale enterprise More ❯

across functions. Desirable/Advantageous Skills Exposure to cloud technologies (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with messaging systems like Kafka or RabbitMQ. Interest or academic exposure to financial services, especially payments and transaction banking. Experience working in a regulated environment or large-scale enterprise More ❯

TDD or BDD frameworks like Cucumber or Selenium to ensure code quality Experience with both relational and NoSQL databases such as Postgres and MongoDB, KAFKA or MQ, or any other event-driven framework Skills in using CI/CD tools, preferably GitLab or GitHub, and deploying on AWS Kubernetes More ❯

provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud Preferred qualifications, capabilities and skills Experience with event-driven architectures and tools like Kafka for messaging and streaming Familiarity with orchestration frameworks like Temporal.io or similar workflow engines Knowledge of cloud-native technologies, including Kubernetes and containerization best More ❯

techniques, and platforms, with a focus on proving it works and does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience More ❯

to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skills-able to explain complex More ❯

maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven experience leading development teams in More ❯

environments. Frontend exposure (e.g., React) – not essential but beneficial. Familiarity with Kotlin or openness to working with Kotlin-based services. Messaging systems such as Kafka or RabbitMQ. Cloud platform experience (AWS, GCP, or Azure). Understanding of DevOps and infrastructure-as-code tools (e.g., Terraform, Ansible). Exposure to More ❯

environments. Frontend exposure (e.g., React) – not essential but beneficial. Familiarity with Kotlin or openness to working with Kotlin-based services. Messaging systems such as Kafka or RabbitMQ. Cloud platform experience (AWS, GCP, or Azure). Understanding of DevOps and infrastructure-as-code tools (e.g., Terraform, Ansible). Exposure to More ❯

environments. Frontend exposure (e.g., React) – not essential but beneficial. Familiarity with Kotlin or openness to working with Kotlin-based services. Messaging systems such as Kafka or RabbitMQ. Cloud platform experience (AWS, GCP, or Azure). Understanding of DevOps and infrastructure-as-code tools (e.g., Terraform, Ansible). Exposure to More ❯

environments. Frontend exposure (e.g., React) – not essential but beneficial. Familiarity with Kotlin or openness to working with Kotlin-based services. Messaging systems such as Kafka or RabbitMQ. Cloud platform experience (AWS, GCP, or Azure). Understanding of DevOps and infrastructure-as-code tools (e.g., Terraform, Ansible). Exposure to More ❯