1 to 25 of 99 Permanent Kafka Jobs in the UK

Technical Consultant role.* Background in data engineering — ETL/ELT pipelines, data modelling, or analytics platforms.* Familiarity with event-driven architectures, message queues (Kafka, SQS, RabbitMQ), and microservices patterns.* Experience with advanced AI/ML engineering, including fine-tuning open-source models, building evaluation frameworks for LLM outputs ...

microservices, distributed systems, and system design Experience designing and building RESTful APIs at scale Hands-on experience with: Hibernate/JPA Messaging systems (Kafka, RabbitMQ) Experience with cloud platforms ( AWS/Azure/GCP ) Strong knowledge of Docker, Kubernetes , and container orchestration Expertise in database design ( SQL & NoSQL ) Strong ...

delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup ...

environment). Comfortable working in Agile delivery teams with iterative releases and continuous improvement. Nice to Have Experience with event-driven architectures (e.g., Kafka or similar). Knowledge of observability practices (metrics, logging, tracing) and production monitoring. Experience improving performance and scalability in high-throughput systems. Understanding of secure ...

Java, Rust, JavaScript Cloud: AWS (Azure/GCP beneficial) Containers: Docker, Kubernetes, GPU containerisation Architecture: Microservices, serverless, APIs, edge compute, pub/sub systems (Kafka, MQTT) DevSecOps: Git, CI/CD, Terraform/Ansible, Linux scripting Proactive mindset, strong problem-solving skills, and ability to work independently ...

test-driven development, delivery automation and good software engineering practices. · Experience with message-driven architectures and event-driven systems would be beneficial. · Experience with Kafka, Kafka Streams or Kafka Connect would also be beneficial. · Experience working with applications deployed in Kubernetes environments would also be beneficial. ...

Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services. Strong understanding of SQL and NoSQL databases. Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch ...

desirable. Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban). Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable. Strong experience with end‐to‐end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable. Degree ...

expertise in designing large-scale machine learning systems and architectures Advanced programming skills (Python preferred) with experience in frameworks and tools such as JavaScript, Kafka, and reactive systems Extensive experience with cloud-based development, particularly on Azure, including AI/ML services and data platforms Proven experience with Kubernetes ...

experience, specifically with Java 8+ (Java 11 or 17 preferred). Frameworks: Strong expertise in Spring Boot and Microservices architecture. Messaging: Proven experience with Kafka and its integrations. Databases: Proficiency in both SQL (Oracle, PostgreSQL) and NoSQL (Couchbase, Cassandra). Architecture: Experience with Event-driven Microservices and high-availability ...

using OAuth2/OIDC, session management, and fine-grained permissions. Design and maintain event-driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. ...

RESTful API design principles and best practices. Experience with TDD and testing frameworks such as Boost.Test, Google Test, etc... NicetoHaves: ExperiencewithAzureservicesformanagingGPTpipelinesandmulti-cloudinfrastructure. FamiliaritywithbigdatatechnologiessuchasApacheSpark,Kafka,andMSKforlarge-scaledataprocessing. Experience with boost libraries (asio, beast). Advancedexperienceincostoptimizationstrategiesforcloudinfrastructureanddatabaseperformancetuning. Technicalacumen: AdvancedknowledgeofallAWSsystemsandservices. Detailoriented: Responsibleformission-criticalhealthcareproductsandservices. CommunicationsandTrust: Phenomenalcommunicationskillswiththeabilitytomaintainthehighestlevelsofconfidentialityonaconsistentbasis. OrganisationandGettingStuffDone: Jugglingmultipleprojectsandtimelines.Prioritising.Keeneyefordetailinalltasksandprojects.Exceptionalatmakinglistsandmaintainingorganisation. GrowthMindset: Yourabilitytolearnfrommistakes,reflectonmistakes,andnotmakemistakesagain.Beingcuriousandaskingquestionsandfacingresilienceinthefaceofsetbacks. Benefits Join ...

have experience leading projects or teams, mentoring engineers, and operating in production environments. Experience with cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, message queues (Kafka, RabbitMQ), and event-driven systems is highly desirable, along with exposure to AI/LLM integrations. You'll bring strong system design skills ...

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 ...

Practice, and the GOV.UK Design System Desirable Experience leading Legacy modernisation, including strangler-pattern migrations away from Mainframe systems Experience with event-driven architectures (Kafka, EventBridge, SNS/SQS) Familiarity with accessibility standards (WCAG 2.2) and inclusive design Experience supporting services through GDS Alpha, Beta, and Live assessments Active ...

CentOS Windows Server and Active Directory VMware vSphere/ESXi Terraform and Ansible Docker and Kubernetes AWS or Azure Elasticsearch/Kibana MongoDB Apache Kafka Helm Concourse CI/CD Atlassian toolset (Jira, Confluence, Bitbucket) Infrastructure as Code (IaC) Networking and infrastructure monitoring TOGAF or MODAF architecture frameworks Enterprise ...

Essential Skills & Experience Strong experience in Java development, including: Core Java Spring Boot frameworks Proven experience building distributed backend systems Hands-on experience with Kafka (or similar streaming platforms) Experience with Scala and Apache Spark for data processing Integration withbackend services such as: PostgreSQL Redis S3 (or equivalent object ...

Boot for building microservices. Strong expertise with relational databases (Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful ...

frameworks Java, Go, C#, Rust, or other strongly typed languages Internal platform engineering or developer platform ownership Event-driven architectures using EventBridge, Kinesis, Kafka, SQS, or SNS Contact centre, voice, or AWS Connect environments What's on Offer Remote-first working across the UK Exposure to large-scale cloud ...

robust, scalable solutions ESSENTIAL EXPERIENCE Strong backend Java and Spring Boot experience built in production environments Solid microservices and event driven architecture, ideally with Kafka or similar Cloud and infrastructure as code experience, Azure and Terraform ideally, though strong AWS plus Terraform transfers A genuine ownership mindset and strong ...

Essential Skills for the Principal .NET Engineer: Deep hands-on expertise in ASP.NET Core, Web API, C#, Entity Framework Strong experience with Azure, Kubernetes, Kafka and Microservices architecture Experience with MongoDB, cloud integrations and distributed systems Strong knowledge of JavaScript/TypeScript Experience using Terraform/Infrastructure as Code ...

environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code ...

design. Experience with cloud platforms and containerization technologies. Strong knowledge of modern programming languages (e.g., Java), database technologies (Oracle, MSSQL), and messaging systems (e.g., Kafka). Expertise in building and scaling data-intensive applications and data analytics platforms. Leadership & Management: Exceptional leadership and communication skills, with the ability ...

career in data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience ...

Kubernetes networking, security and service mesh technologies Experience with the following would be highly beneficial: Cilium Istio/Service Mesh ArgoCD or Flux OpenTelemetry Kafka or Redpanda Python automation tooling Policy as Code/Kubernetes security tooling To progress matters please send your CV Laura at Services advertised ...