8 of 8 Kafka Jobs in Tyne and Wear

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 ...

Have Skills Experience or familiarity with any of the following would be beneficial but not required : Docker & containerisation Kubernetes AWS CI/CD pipelines Kafka & event-driven architectures Databases: MongoDB, PostgreSQL, Oracle Service mesh technologies (e.g. Istio ) BDD tools (e.g. Cucumber ) Helm Redis Monitoring & observability tools ( Grafana, Prometheus, Kibana ...

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 ...

data, distributed systems, and modern cloud architectures . What youll be doing Design and build scalable data pipelines (batch & streaming) Work with technologies like Kafka, Flink, Spark, AWS services Develop real-time, event-driven data solutions Contribute to data architecture and modelling best practices Implement CI/CD pipelines … analytics and AI teams to deliver clean datasets What were looking for Strong programming skills in Java (preferred) or Python Experience with streaming technologies (Kafka/Flink/Spark) Knowledge of distributed systems and large-scale data processing Experience with cloud platforms (AWS preferred) Familiarity with DevOps tools ...

that power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling … Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices ...

Experience with graph xkybehq modelling and large-scale ETL pipelines Strong API design for data-heavy systems Nice to have: UK property data (UPRN), Kafka/event streaming, spatial data experience Details Remote: Europe time zones preferred Type: Full-time (strong contractors considered) Start: Urgent ...