1 to 25 of 43 DemandTrendPermanent Kafka Jobs in the North of England

priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯

environment Experience delivering change through Build, Dev and QA to Production, using automation Technical Skills Java Development including Domain Driven Design, Test Driven Development and tech training presentation skills. Kafka, Mongo, Elastic Search and Redis Architecture and Design Skills Distributed Systems and architectural experience of microservices, event driven architectures and serverless. AWS Cloud including step functions, lambda and general More ❯

years' experience working as a Software Engineer on large software applications Proficient in many of the following technologies - Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working More ❯

to the likes of CI/CD, Kubernetes & Docker. Experience with cloud platforms ideally AWS. Experience of multiple development technologies, ideally including Java, JavaScript, Node.js, React, Spring/Springboot, Kafka, AWS, Python, Jenkins, GitLab, microservices, secure RESTful API's, JSON, API Gateways, event-driven architectures, messaging. Technical knowledge of Oracle Retail Cloud Applications such as MFCS, OIC, Smart Item More ❯

BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active More ❯

Docker, Terraform, Bash scripting Middleware: IBM ACE or JMS/web services experience. Kibana, ELK, Elastic Search Working knowledge of User interface technologies (React, Node.js etc.) Experience with Apache Kafka or similar event streaming platforms Bachelor's degree in computer science, Software or Electronic engineering or other related discipline. Conversant with the modern Java and Linux development frameworks and More ❯

systems, databases,(PostgreSQL, Databricks, Clickhouse, ElasticSearch), and performance tuning. Familiarity with modern web frameworks and front-end technologies (React, Vue, Angular, etc.) Experience with data processing frameworks (Apache Spark, Kafka, Airflow, Dagster or similar) Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker/Kubernetes) Experience with testing frameworks Strong analytical skills and a data-driven approach More ❯

NoSQL databases, PostgreSQL Strong knowledge on cloud services such as AWS Proficiency in Docker and Kubernetes for container orchestration. Strong knowledge of Git and version control practices Experience with Kafka, RabbitMQ, or similar technologies. Familiarity with monitoring tools (eg - Prometheus, Grafana) and logging frameworks Knowledge of DevOps principles and practices. Strong analytical and problem-solving skills. Experience working in More ❯

NoSQL databases, PostgreSQL Strong knowledge on cloud services such as AWS Proficiency in Docker and Kubernetes for container orchestration. Strong knowledge of Git and version control practices Experience with Kafka, RabbitMQ, or similar technologies. Familiarity with monitoring tools (eg - Prometheus, Grafana) and logging frameworks Knowledge of DevOps principles and practices. Strong analytical and problem-solving skills. Experience working in More ❯

NoSQL databases, PostgreSQL Strong knowledge on cloud services such as AWS Proficiency in Docker and Kubernetes for container orchestration. Strong knowledge of Git and version control practices Experience with Kafka, RabbitMQ, or similar technologies. Familiarity with monitoring tools (eg - Prometheus, Grafana) and logging frameworks Knowledge of DevOps principles and practices. Strong analytical and problem-solving skills. Experience working in More ❯

expertise at practice level. About you Enterprise Java development experience with Java and Spring (Core & SpringBoot) is essential. Experience in microservices development of REST APIs and event streaming with Kafka is essential. Experience in persistence and caching layers, relational database systems and NoSQL databases is essential. Experience in low latency, highly performant and optimised services is advantageous. Experience in More ❯

others' work. About you Enterprise Java development experience with Java and Spring (Core & SpringBoot) is essential. Experience in microservices development of REST APIs is essential and event streaming with Kafka is advantageous. Experience in persistence and caching layers, relational database systems is essential, NoSQL databases is advantageous. Understanding of low latency, highly performant, optimised service implementation. Experience with automated More ❯

in Agile environments (Scrum, Kanban, SAFe) with strong architectural governance Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL More ❯

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 3 days/week More ❯

and experience. About you Enterprise Java development experience with Java and Spring (Core & SpringBoot) is essential. Experience in microservices development of REST APIs is essential and event streaming with Kafka is advantageous. Experience in persistence and caching layers, relational database systems is essential, NoSQL databases is advantageous. Experience of agile development practices and the full software development lifecycle. Experience More ❯

as code (Terraform, CloudFormation) Comfortable scripting in Bash or Python Experience with AWS or similar public cloud platforms Strong containerisation knowledge (e.g. Docker, Kubernetes) Nice to have: Experience with Kafka in production (including multi-datacentre setup) Familiarity with service discovery (e.g. Consul, Istio, Linkerd) Knowledge of secrets management tools (Vault, AWS Secrets Manager) Good grasp of networking fundamentals (OSI More ❯

Days Ago Staff Software Engineer - Commercial Engineering (REMOTE) remote type Remote locations 5 Locations time type Full time posted on Posted 30 Days Ago Staff Engineer - PaaS Messaging/Kafka (Remote) remote type Remote locations 35 Locations time type Full time posted on Posted 4 Days Ago time left to apply End Date: June 24, 2025 (2 days left More ❯

Boot expertise Proficiency in Lombok JUnit Swagger and modern web architecture Experience designing and developing reusable frameworks Strong understanding of microservices distributed systems and cloudnative development Handson experience with Kafka and API design RESTGraphQL Familiarity with CICD tools and containerization technologies More ❯

and scalable API design. Knowledge of frameworks and libraries like Vue.js, React, JSON, XML, MVC, and jQuery will be beneficial. Exposure to Docker, Kubernetes, Helm Charts, messaging systems like Kafka or RabbitMQ. More ❯

end-to-end, deploy to production frequently, and see the real-world impact of what they build. You'll also get to work with a modern tech stack: Kotlin, Kafka, Kubernetes, Docker, AWS, Aurora Postgres and more. We work hybrid, with at least 2 days a week together in our Manchester office. A day in the life: Owning and More ❯

and sustainability-delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including More ❯

and sustainability-delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including More ❯

Experience building and maintaining data pipelines in a live environment. Data Storage Solutions: Familiarity with data lakes, warehousing, and other data storage patterns. Advanced Tools: Experience with tools like Kafka, Jenkins, Athena, or Spark. This role will require 4 days per week onsite in the office in Camden , this is not optional and you must be open to this More ❯

data-driven decision-making What You'll Bring Proven experience in cloud-based data engineering (Azure, Databricks) Strong Python/PySpark skills and DevOps automation experience Familiarity with Kubernetes, Kafka/Event Hub, and AI/ML platform integration Certifications in Azure, Databricks, or data governance tools (a plus) A collaborative mindset and a passion for continuous improvement What More ❯

TDD, and system design. What We're Looking For: Strong experience with Python, Spark, Scala, and Java in a commercial setting. Solid understanding of distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for solving complex More ❯