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

Hands-on experience with Docker and Kubernetes. Strong debugging, analytical, and problem-solving skills. Experience working within agile delivery teams. Desirable Skills Experience with Kafka or event-driven architectures. Knowledge of observability and monitoring tools. Experience with Infrastructure as Code (Terraform or similar). Exposure to security and compliance ...

should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure ...

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 ...

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 ...

pipelines Exposure to cloud platforms (AWS, Azure or GCP) Confidence communicating complex technical topics to both technical and non‐technical stakeholders ⭐ Nice to have Kafka, SQS, Serverless (Lambda) Monitoring & logging tools (ELK, Dynatrace, Splunk) JPA/Hibernate, Swagger/OpenAPI, automated testing tools Experience delivering projects from backlog through ...

Working knowledge of cloud platforms such as AWS, Azure, or GCP Additional experience that would be beneficial Exposure to message queueing systems such as Kafka or SQS Experience with serverless technologies Familiarity with monitoring and logging tools Knowledge of JPA, Hibernate, and API documentation tools such as Swagger Experience ...

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 ...

ConfigMaps, Secrets, HPA, PDBs and Kubernetes workloads Experience working within DevOps/SRE/Platform Engineering teams Nice to Have Experience with HashiCorp Vault Kafka or event-driven architecture exposure Banking or regulated enterprise environment experience DevSecOps/security tooling experience GitOps/ArgoCD exposure What ...

systems Experience integrating with third-party APIs End-to-end ownership of systems (design build operate) Technical Expertise Event-driven architecture (EventBridge, SQS, SNS, Kafka) Reliability patterns (retries, idempotency, DLQs) Observability and debugging in distributed systems Data modelling and schema evolution Leadership & Collaboration Ability to lead technical design ...

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 ...

/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 ...

schemes, message transformations (XML/JSON), and payment routing/validation. Implement integration patterns using Mule ESB or similar middleware , messaging, and Kafka . Own architecture decisions, design reviews, and technical standards adherence. Drive quality engineering: TDD/BDD , JUnit, Cucumber, secure coding, CI/CD enforcement. Collaborate with ...

develop this) Ambition to move into team leadership/people management Nice to have: Experience with PySpark/Databricks Experience with streaming technologies like Kafka or AWS Kinesis Knowledge of data governance and quality frameworks ...

code What They're Looking For Core experience needed: PostgreSQL at depth: logical replication, WAL, schema design CDC and event streaming using Debezium, Kafka, MSK, Kinesis, DMS or similar SaaS source ingestion via custom connectors or tools like Fivetran, Airbyte or Stitch Strong AWS data stack experience: S3, Glue ...

Docker, Kubernetes, Helm/Kustomize, GKE Ops CI/CD engineering, pipeline authoring, artifacts management, testing automation, deployment strategy Data pipeline and DevOps (KAFKA/PubSub) – Kafka basics, schema registry, streaming infra and monitoring Graph platform engineering, Neo4j basics, backups, recovery and DR GDS/APOC, observability DevSecOps ...

Design, build, and optimise scalable data pipelines (batch and real-time) Work primarily with Java , with exposure to Python and streaming frameworks such as Kafka, Flink, or Spark Develop event-driven architectures and streaming integrations Integrate data from multiple sources using AWS services (e.g. Kinesis, Lambda, Glue, MSK) Architecture … 3+ years’ commercial experience in Data Engineering or large-scale data systems Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark (streaming focus is a strong advantage) Solid understanding of streaming concepts (event time, state, backpressure) Experience building ETL/ ...

scalable data pipelines using Java as the primary language, with exposure to Python where needed Develop real-time streaming solutions using technologies such as Kafka and Flink Integrate data from multiple sources including APIs, batch systems, and streaming platforms using AWS services like Kinesis, MSK, Lambda, and Glue Contribute … Minimum 2 years’ experience in data engineering or large-scale data platforms Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark, with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling ...

opinions on modern testing approaches Understand backend/API and distributed systems Tech environment: Python AWS (or similar cloud platforms) API & event-driven architecture (Kafka, RabbitMQ, SQS etc.) Beneficial CI/CD (GitLab or similar) Backend-focused (no UI-heavy testing) The role: Hands-on automation engineering Driving quality ...

GitHub and pipeline setup. Nice to Have Experience with JSON/XML data formats. Exposure and some experience to Oracle databases. Familiarity with Kafka or event-driven architectures. Experience in Agile/DevOps-driven environments. If you are interested in this position and would like to learn more, please ...

with exposure to Kubernetes, Docker, and AWS. Experience interfacing with BrowserStack/SauceLabs/LambdaTest for Appium test automation is strongly preferred. Exposure to Kafka, Terraform, or Splunk/New Relic for monitoring and debugging. Basic understanding of Java or Scala to support engineering collaboration. ...

with exposure to Kubernetes, Docker, and AWS. Experience interfacing with BrowserStack/SauceLabs/LambdaTest for Appium test automation is strongly preferred. Exposure to Kafka, Terraform, or Splunk/New Relic for monitoring and debugging. Basic understanding of Java or Scala to support engineering collaboration. Guidant, Carbon60, Lorien ...

Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Experience ...

some Azure exposure) supported by Git-based CI/CD (GitLab and tools like Jenkins/Concourse), and data/integration components including MongoDB, Kafka and REST/HTTP APls; Engineering practices emphasize Agile with TDD/BDD and automated testing across Ul and APIs using Playwright, Selenium/… Spark for data processing and Apache Airflow for orchestration, containerization with Docker, CI/CD and source control with GitLab/GitHub, streaming with Kafka, builds with Bazel/Maven, data stores including Postgres, MySQL and MongoDB, plus security scanning (e.g., Trivy, Trend Micro, Wiz) and Jupyter Notebooks, integrating ...

evidence your clearance) Required Skills & Experience Strong experience designing modern cloud-based data platforms. Hands-on architectural experience with: AWS (essential): S3, EMR, Glue Kafka/event streaming architectures Python & PySpark-based data processing Experience designing data ingestion pipelines (batch and real-time). Proficiency in Infrastructure as Code ...

Docker, Kubernetes, Helm/Kustomize, GKE Ops CI/CD engineering, pipeline authoring, artifacts management, testing automation, deployment strategy Data pipeline and DevOps (KAFKA/PubSub) – Kafka basics, schema registry, streaming infra and monitoring Graph platform engineering, Neo4j basics, backups, recovery and DR GDS/APOC, observability DevSecOps ...