26 to 50 of 407 Kafka Jobs in the South East

data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working More ❯

data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

an advocate for automated testing and promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during More ❯

an advocate for automated testing and promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during More ❯

areas directly relevant to data engineering responsibilities and tasks Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake) Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML More ❯

staying hands-on when needed. Nice to haves Experience leading technical discovery or architecture definition in a scaling SaaS or fintech environment. Familiarity with event-driven or streaming architectures (Kafka, Apache Flink, etc.). Practical exposure to AI/LLM orchestration frameworks or fine-tuning workflows. Experience designing developer tools, data platforms, or intelligent systems. Interest in or experience More ❯

state architecture (Tessa). Strong knowledge and experience with Agile testing processes and methodologies, preferably Scaled Agile Framework or similar. Good experience and skills within streaming technologies like Confluent Kafka, Streamsets, MongoDB, IBM CDC. Knowledge of public/enterprise cloud technologies (AWS EC2, S3 Bucket, GCP, Azure) is advantageous but not required. Some skills/experience with automated testing More ❯

It would be a plus if you also possess previous experience in: TDD/ATDD/BDD, DDD, Pair/Ensemble Programming Wildfly, Oracle SQL, AWS, Docker/Kubernetes, Kafka, Jenkins GWT, Jest, Vite, Cypress, Playwright, eslint, esbuild, webpack, web components More ❯

It would be a plus if you also possess previous experience in: TDD/ATDD/BDD, DDD, Pair/Ensemble Programming Wildfly, Oracle SQL, AWS, Docker/Kubernetes, Kafka, Jenkins GWT, Jest, Vite, Cypress, Playwright, eslint, esbuild, webpack, web components More ❯

CD pipelines (Jenkins, GitLab CI, CircleCI) Knowledge of containerisation with Docker and Kubernetes Scripting in Python, Bash, or Go Monitoring and observability using Prometheus, Splunk, or similar Familiarity with Kafka, Akamai or Fastly, and databases like MySQL or MongoDB Excellent problem-solving and communication skills Comfortable participating in an on-call rotation If you're a Site Reliability Engineer More ❯

CD pipelines (Jenkins, GitLab CI, CircleCI) Knowledge of containerisation with Docker and Kubernetes Scripting in Python, Bash, or Go Monitoring and observability using Prometheus, Splunk, or similar Familiarity with Kafka, Akamai or Fastly, and databases like MySQL or MongoDB Excellent problem-solving and communication skills Comfortable participating in an on-call rotation If you're a Site Reliability Engineer More ❯

networking, and infrastructure-as-code practices. Familiarity with vector databases, retrieval-augmented generation (RAG), and LLM integration is a plus. Exposure to cloud platforms (AWS preferred) and messaging systems (Kafka, RabbitMQ) is advantageous. Strong communication skills and the ability to work across technical and non-technical teams. Knowledge of financial markets or investment workflows is a bonus, but not More ❯

networking, and infrastructure-as-code practices. Familiarity with vector databases, retrieval-augmented generation (RAG), and LLM integration is a plus. Exposure to cloud platforms (AWS preferred) and messaging systems (Kafka, RabbitMQ) is advantageous. Strong communication skills and the ability to work across technical and non-technical teams. Knowledge of financial markets or investment workflows is a bonus, but not More ❯

technology. Requirements include at least 7 years of professional software development experience, with a focus on Backend engineering. Our backend tech stack currently includes: Go Protobuf gRPC PostgreSQL Redis Kafka Docker Full CI and automated deployments using Kubernetes and Ansible to multiple cloud providers We are committed to using the best technology for the task at hand. Other technologies More ❯

problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning 🧰 Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security cleared to at least SC More ❯

problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning 🧰 Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security cleared to at least SC More ❯

problems in data flow, latency, and scale Contributing to a culture of fast iteration, clean code, and continuous learning 🧰 Tech Stack: Python (FastAPI, Flask) TypeScript, Node.js, React PostgreSQL, Redis, Kafka Docker, Kubernetes, AWS CI/CD with GitHub Actions, Terraform 💼 What You’ll Bring: Experience in working on Defence and Government projects Ideally security cleared to at least SC More ❯

experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. More ❯

experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. More ❯

experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. More ❯

scaled Agile environment, ideally working with delivery partners and third-party applications. Proficiency in Java and Spring Boot is essential. Familiarity with the Spring Framework and tools like Apache Kafka is a bonus. Knowledge of finical billing domains/systems Hands-on experience with microservices architecture, database programming, and event streaming in a cloud-based environment. Proficiency in applying More ❯

sprints, each engineer is responsible for writing their own test scripts to achieve full automation Required Skills/Experience: The ideal candidate will have the following: • Java, Spring, Hibernate • Kafka • Linux, VMware, Openshift, AWS • CI/CD Pipelines via Jenkins, Github Actions, Chef, Ansible, Nexus • Testing of Database technologies (Postgres or similar) • Full end to end quality tool-set More ❯