101 to 125 of 258 Kafka Jobs in the UK excluding London

Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost ...

Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost ...

Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real-time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost-control systems (such as Karpenter, Infracost, OpenCost ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. Tableau, PowerBI ...

software development background with hands‐on experience in platform, infrastructure, or data‐centric environments Deep expertise in event‐driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/ ...

commercial experience developing applications using Java . Strong hands-on experience with Spring Boot . Proven experience working with AWS cloud services. Experience with Kafka and event-driven architectures. Strong experience with MongoDB or similar NoSQL databases. Experience working within Agile, multidisciplinary software development teams. Ability to develop robust ...

commercial experience developing applications using Java . Strong hands-on experience with Spring Boot . Proven experience working with AWS cloud services. Experience with Kafka and event-driven architectures. Strong experience with MongoDB or similar NoSQL databases. Experience working within Agile, multidisciplinary software development teams. Ability to develop robust ...

cloud-native testing. Experience with identity protocols and technologies including SCIM, REST APIs, LDAP and OIDC. Knowledge of event-driven architectures (Pub/Sub, Kafka, queues) and policy-based access controls (RBAC, ABAC, ReBAC, PBAC). Proven ability to lead automation testing initiatives, mentor engineers, and engage with stakeholders. ...

releases. Drive continual improvement in release processes, collaborating with agile delivery teams and leveraging knowledge of tools like Swagger/OpenAPI, Gradle, Liquibase, Kafka, React and Typescript. Nice to have: Immediate availability What you need to do now If you're interested in this role, click 'apply ...

hands-on across every technology, but exposure to environments incorporating the following would be beneficial: Azure | Kubernetes | Java | Spring Boot | TypeScript | APIs | Kafka | IBM MQ | MongoDB | Redis | SQL Server | CI/CD | Observability This role would suit an experienced architect who can quickly understand a complex environment, take ownership ...

building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus Why join High impact and ownership ...

MLflow and Databricks Asset Bundles * dbt or similar transformation frameworks * Retail or CPG data such as POS, inventory, supply chain * Streaming technologies such as Kafka or Event Hubs Education * Degree in computer science, data engineering or related field, or equivalent practical experience ...

multi-agent and event-driven orchestration architectures. Full-stack engineering capability with architectural ownership, including front-end (Angular or equivalent), middleware/event streaming (Kafka, JMS, RabbitMQ), and relational data platforms (Oracle/MySQL), enabling end-to-end platform design and optimisation. Proven track record of delivering production-grade ...

with a delivery-focused mindset Comfortable working within cross-functional engineering teams Nice to Have Experience with dbt Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine learning or AI workloads What ...

modern API patterns. Strong understanding of RESTful API design, schema validation, and OpenAPI/Swagger. Experience working with messaging and eventing platforms such as Kafka, RabbitMQ, Azure Service Bus, MQTT, or similar. Cloud-native development experience is essential (ideally on Azure). Hands-on experience with containerisation (Docker ...

Strong knowledge ofinfrastructureas code, automation, CI/CD, monitoring, logging, networking,virtualisation, storage, backup, WindowsServerand Linux system administration. Experience with Kubernetes, container platforms,secretsmanagement, Kafka or ELK/Elastic-based monitoring and logging platforms. Understanding ofcybersecurity, access management, data protection and compliance requirements for cloud and AI-enabled services. ...

maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Knowledge of distributed technologies such as Kafka for messaging and NoSQL databases such as Cassandra/MongoDB Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish ...

solutions involving middleware and integration including JBoss/WebLogic, enterprise service bus/message queueing/integration platforms (iPaaS) such as RabbitMQ, MuleSoft, Boomi, Kafka Designing (including requirements traceability) secure, high performing, and highly available technology solutions Knowledge of continuous integration and deployment processes, methods, and tools Providing architectural ...

observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud‐native infrastructure. Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale. What ...

during interview stage Experience in REST API and authentication mechanisms (OAuth/Basic Authentication) Messaging Systems experience in any of the following middleware technologies (Kafka preferrable, Nats, Solace, TiBCo, RabbitMQ etc.) Experience working with SQL and databases such as Oracle, SQL Server, Hadoop etc. Experience with Java Multithreading/ ...

evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks ...

the company is WPP's privacy-first data collaboration technology, trusted by global businesses to unlock the full potential of their first-party data without risk. Its patented, cross-cloud, decentralized collaboration technology leverages advanced ...

Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks architectureand implementation expertise. Ability to designscalableand cost-efficientLakehouse solutions. Strong troubleshooting andperformance optimizationskills. ...

experience in data modeling, query optimization, and large-scale data management. Messaging & Middleware: Hands-on experience with messaging and middleware technologies such as Apache Kafka, IBM MQ, the FIX protocol, with an understanding of event-driven and asynchronous system design. Agile Delivery: Solid understanding of Scrum and Agile methodologies ...

experience in data modeling, query optimization, and large-scale data management. Messaging & Middleware: Hands-on experience with messaging and middleware technologies such as Apache Kafka, IBM MQ, the FIX protocol, with an understanding of event-driven and asynchronous system design. Agile Delivery: Solid understanding of Scrum and Agile methodologies ...