1 to 25 of 880 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 ❯

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 ❯

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 ❯

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 ❯

MongoDB, Cassandra). Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain-driven design (DDD). Agile development experience using tools like Jira, Confluence, and participation in SAFe or Scrum environments. Contributions to More ❯

MongoDB, Cassandra). Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain-driven design (DDD). Agile development experience using tools like Jira, Confluence, and participation in SAFe or Scrum environments. Contributions to 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 ❯

for detail. Preferred Qualifications Deep knowledge of SQL performance tuning, indexing, and query optimization. Experience with message brokers and asynchronous communication patterns (e.g., RabbitMQ, Kafka). Exposure to CI/CD pipelines and DevOps practices, particularly using Azure DevOps. Familiarity with containerization and orchestration tools like Docker and Kubernetes. More ❯

for detail. Preferred Qualifications Deep knowledge of SQL performance tuning, indexing, and query optimization. Experience with message brokers and asynchronous communication patterns (e.g., RabbitMQ, Kafka). Exposure to CI/CD pipelines and DevOps practices, particularly using Azure DevOps. Familiarity with containerization and orchestration tools like Docker and Kubernetes. More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on 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 ❯

development lifecycle, including but not limited to - refinement of requirements, estimation & planning, platform design & implementation, test & deployment automation, and platform resiliency & support. Primary Skills Kafka, IBM MQ Java Spring Boot Big File handling Exposure to modern microservice architecture Good to have skills Microservices CI/CD AWS- S3, EKS 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 ❯

Experience with Unit Testing and Integration Testing is also essential. Experience with container technologies such as Docker and Kubernetes. Experience of middleware such as Kafka, NServiceBus, Camunda, Dremio, RabbitMQ. Practiced experience refactoring, implementing design patterns, design driven development, continuous integration, system and application design, application security. Strong experience working More ❯

areas, please get in touch Spring Boot microservices React and Node.js frontend web application development Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile More ❯

or other advanced analytics infrastructure. Familiarity with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. Experience with modern data engineering technologies (e.g., Kafka, Spark, Flink, etc.). Why join YouLend? Award-Winning Workplace: YouLend has been recognised as one of the "Best Places to Work 2024" by More ❯

C#, and/or React with a deep understanding of system architecture and distributed systems. Experience with low-latency, high-throughput messaging systems (e.g., Kafka, RabbitMQ, or proprietary systems). Expertise in cloud technologies and deployment pipelines (AWS, GCP, or Azure). Expertise in performance profiling and optimisation. Strong More ❯

AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (e.g., Apache Kafka, Talend, Informatica) and APIs . Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming Expertise in cloud security , data governance , and More ❯