126 to 150 of 768 Kafka Jobs in the UK

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 ❯

Falcon LogScale (formerly Humio) • Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient More ❯

retrospectives , fostering collaboration and accountability. Ensure compliance with ISO 27001 , security best practices, and regulatory standards (e.g., GDPR). Contribute to and evolve POWWR’s event-driven architecture, leveraging Kafka and MassTransit to enable scalable, decoupled, and observable services. What we’re looking for Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. 8+ years of More ❯

expertise in building dynamic, responsive, and reusable components Worked on Enterprise Case Management Life cycle applications involving backend server builds in either Java or C++ Tech Stack Experience with Kafka or other message brokers for event-driven communication Proficiency in developing RESTful APIs and microservices using Java Spring Boot. Strong understanding of Spring Framework (e.g., Spring MVC, Spring Security 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Preferred/Desired Skills Java coding, cloud computing preferable AWS, Kubernetes, Kafka and Terraform experience and knowledge Job Description: Building microservices in Java, ideally with a broad experience of frameworks, including asynchronous frameworks like Project Reactor Designing, building, deploying and running More ❯

Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Preferred/Desired Skills Java coding, cloud computing preferable AWS, Kubernetes, Kafka and Terraform experience and knowledge Job Description: Building microservices in Java, ideally with a broad experience of frameworks, including asynchronous frameworks like Project Reactor Designing, building, deploying and running More ❯

product engineering background to join their team, building highly available, scalable systems that power next-generation payments. Your Background/Tech Stack Java with Spring Reactive programming (AKKA etc) Kafka or JMS Solid understanding of CI/CD pipelines, automation, and Agile delivery practices. Experience working with MongoDB or other NoSQL databases. The Role Play a key role in More ❯

product engineering background to join their team, building highly available, scalable systems that power next-generation payments. Your Background/Tech Stack Java with Spring Reactive programming (AKKA etc) Kafka or JMS Solid understanding of CI/CD pipelines, automation, and Agile delivery practices. Experience working with MongoDB or other NoSQL databases. The Role Play a key role in More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

for data workflows. Excellent communication skills and ability to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. More ❯