1 to 25 of 36 Permanent Kafka Jobs in the North of England

Scope Technologies: Streaming Platform: Kafka, Kafka Connect, Schema Registry, Streams, ZooKeeper/KRaft DevOps/CI-CD: Jenkins, GitHub Actions, Azure DevOps Container Platform: Kubernetes, Helm, ArgoCD Cloud: AWS, Azure, GCP Monitoring: Prometheus, Grafana, Dynatrace, Confluent Control Centre Supporting: Terraform, Ansible Core Kafka Expertise (Must-Have) • Kafka architecture: brokers, topics, partitions, replication • Kafka components: Kafka Connect, Schema Registry, Streams, ZooKeeper/Kraft • Topic & partition management, consumer groups • Performance tuning, retention, throughput optimisation • Cluster setup, upgrades, scaling and failover • Troubleshooting (e.g. lag, ISR, leader issues) • Security: SSL/TLS, ACLs, authentication, encryption 2. DevOps & Automation ...

Scope Technologies: Streaming Platform: Kafka, Kafka Connect, Schema Registry, Streams, ZooKeeper/KRaft DevOps/CI-CD: Jenkins, GitHub Actions, Azure DevOps Container Platform: Kubernetes, Helm, ArgoCD Cloud: AWS, Azure, GCP Monitoring: Prometheus, Grafana, Dynatrace, Confluent Control Centre Supporting: Terraform, Ansible Core Kafka Expertise (Must-Have) • Kafka architecture: brokers, topics, partitions, replication • Kafka components: Kafka Connect, Schema Registry, Streams, ZooKeeper/Kraft • Topic & partition management, consumer groups • Performance tuning, retention, throughput optimisation • Cluster setup, upgrades, scaling and failover • Troubleshooting (e.g. lag, ISR, leader issues) • Security: SSL/TLS, ACLs, authentication, encryption 2. DevOps & Automation ...

Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services. Strong understanding of SQL and NoSQL databases. Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch ...

technical discussions. Support testing, deployment and operational activities. Follow secure software development and DevOps practices. Essential Skills & Experience (Must Have) Java Spring Boot Kafka MongoDB API development and integration Basic understanding of Docker images and containers Unit Testing/TDD Gherkin-style BDD testing, preferably using Cucumber CI/ ...

Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications • Advanced Data Management – Strong SQL design, query ...

improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test ...

/CD pipelines Exposure to cloud platforms (AWS, Azure or GCP) A passion for innovation and delivering high‐quality solutions Nice to have Kafka, SQS, Serverless (Lambda) Monitoring & logging tools (ELK, Dynatrace, Splunk) JPA/Hibernate, Swagger/OpenAPI, automated testing Mentoring experience Security: Willingness to obtain ...

/CD pipelines Exposure to cloud platforms (AWS, Azure or GCP) A passion for innovation and delivering high‐quality solutions Nice to have Kafka, SQS, Serverless (Lambda) Monitoring & logging tools (ELK, Dynatrace, Splunk) JPA/Hibernate, Swagger/OpenAPI, automated testing Mentoring experience 🔐 Security: Willingness to obtain ...

both systems and teams Confidence in collaborating with technical and non-technical stakeholders Additional experience (nice to have) Exposure to event-driven architectures (e.g. Kafka, RabbitMQ, SNS/SQS) Knowledge of Domain-Driven Design (DDD) Experience building resilient, scalable systems Familiarity with Infrastructure as Code tools such as Terraform ...

concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit, Cucumber, Selenium, Postman). Knowledge of messaging and streaming platforms (Kafka) and service mesh (Istio). Understanding of network protocols, security best practices, and compliance requirements for banking. Curiosity, adaptability, and a commitment to continuous improvement ...

concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit, Cucumber, Selenium, Postman). Knowledge of messaging and streaming platforms (Kafka) and service mesh (Istio). Understanding of network protocols, security best practices, and compliance requirements for banking. Curiosity, adaptability, and a commitment to continuous improvement ...

Ability to diagnose and resolve performance issues Strong communication skills +AngularJS and AWS for the role in Leeds Nice to have Message queueing systems (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring tools (Dynatrace, ELK, Splunk) JPA/Hibernate Swagger/OpenAPI Testing tools (Selenium, Postman, etc.) Experience delivering ...

Ability to diagnose and resolve performance issues Strong communication skills +AngularJS and AWS for the role in Leeds Nice to have Message queueing systems (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring tools (Dynatrace, ELK, Splunk) JPA/Hibernate Swagger/OpenAPI Testing tools (Selenium, Postman, etc.) Experience delivering ...

solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast ...

solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast ...

distributed systems Ability to take ownership and deliver independently Interest in working with modern tools and AI-assisted development Nice to Have Experience with Kafka or event-driven architectures Exposure to Docker, Kubernetes, or Terraform Experience building or using AI-powered tools Background in startup or scale-up environments ...

distributed systems Ability to take ownership and deliver independently Interest in working with modern tools and AI-assisted development Nice to Have Experience with Kafka or event-driven architectures Exposure to Docker, Kubernetes, or Terraform Experience building or using AI-powered tools Background in startup or scale-up environments ...

data pipelines and distributed data platforms - Knowledge of AWS, Azure or GCP - Experience with Python, Java or Scala - Exposure to technologies such as Spark, Kafka, Airflow, dbt or Hadoop - Strong analytical and problem-solving skills - Excellent communication and stakeholder management - An entrepreneurial mindset with the desire to help build ...

modern cloud-native engineering practices and distributed systems. Key technologies include: AWS .NET 8/.NET Core Microservices Architecture Event-Driven Systems REST APIs Kafka EventBridge SNS/SQS ECS/EKS/Kubernetes Terraform CI/CD Pipelines GitHub Actions SQL & NoSQL Databases Domain Driven Design Observability & Monitoring ...

modern cloud-native engineering practices and distributed systems. Key technologies include: AWS .NET 8/.NET Core Microservices Architecture Event-Driven Systems REST APIs Kafka EventBridge SNS/SQS ECS/EKS/Kubernetes Terraform CI/CD Pipelines GitHub Actions SQL & NoSQL Databases Domain Driven Design Observability & Monitoring ...

environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code ...

software development background with hands‐on experience in platform, infrastructure, or data‐centric environments Deep expertise in event‐driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/ ...

integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good ...

integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good ...

integrate, transform and manage data effectively. Strong experience building and delivering data pipelines using cloud platforms (AWS preferred) and big data tools like Kafka or Spark. Confident using Python (or PySpark) and SQL to process, transform and analyse data, and able to guide others in doing the same. Good ...