26 to 50 of 192 Kafka Jobs in the UK excluding London

teams and contribute to engineering best practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes ...

tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality digital solutions. Desirable Experience Consultancy, Government or NHS project experience. Knowledge of Kafka or other messaging systems. Knowledge of Helm. What's on Offer Competitive pension scheme. 25 days annual leave plus public holidays. Flexible benefits package ...

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 ...

alerting, and SRE concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit, Cucumber, Selenium, Postman).Knowledge of messaging and streaming platforms (Kafka) and service mesh (Istio). Understanding of network protocols, security best practices, and compliance requirements for banking. Curiosity, adaptability, and a commitment to continuous ...

designing and implementing large‐scale, complex systems. Deep understanding of architectural principles and patterns for distributed systems (e.g., microservices, event‐driven architecture with Kafka). Expertise in resilience mechanisms and performance tuning to ensure system stability and efficiency at scale. Proficiency in managing cloud infrastructure and services (e.g. ...

with 5 years leading automation projects Proven experience testing functions and decision logic defined as code including policyascode Experience validating eventdriven platforms PubSub queues Kafka etc and batch processing Experience with identity warehousing and protocolsformats for data ingestion including SCIM REST API LDAP OIDC and CSV Experience with policybased ...

/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real‐time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery ...

Experience with cloud infrastructure and solutions (AWS) and Container/Orchestration (Docker, Kubernetes), Integration patterns and messaging technologies such as JMS, MQ, Kafka Ability to multi-task and also work independently in order to meet the committed deadline Preferred qualifications, capabilities, and skills Experience working in a financial services ...

scalable, maintainable distributed systems. Solid background in microservices architecture, including service decomposition, inter-service communication, and the use of real-time messaging frameworks (e.g. Kafka) to support asynchronous processing and resilience. Exposure to cloud platforms such as AWS, Azure, or GCP, including deploying, configuring, and operating applications in cloud ...

Experience in data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working within cloud environments, ideally AWS. Understanding of software engineering principles, version control and CI/CD practices. Familiarity with ...

experience with Node.js or similar Experience building scalable enterprise applications Knowledge of distributed systems and microservices Experience with API design and integration Exposure to Kafka, RabbitMQ or similar messaging technologies Cloud experience with Azure, AWS or similar CI/CD and Agile development experience Excellent communication and technical leadership ...

Azure DevOps) Solid understanding of microservices and containerisation Knowledge of authentication and integration tools (OAuth, JWT) Excellent communication and problem-solving skills Bonus Skills: Kafka, RabbitMQ, or Azure Service Bus Database admin or optimisation experience Previous work on customer-facing web platforms Why You'll Love It Here: Hybrid ...

Microsoft 365 and exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude ...

requirements Understanding of software design principles and engineering best practices Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis) Familiarity with Git for version control and deployment tooling such as GitLab CI/CD Desirable Experience Experience with system monitoring and observability ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

moving towards a cloud-first architecture with a strong focus on AWS, working with technologies such as Java/Spring, AWS Lambda, Node.js, Kafka, SQL/NoSQL databases, and more. Key Tasks Work within a small, collaborative team using agile methodologies and practices Take ownership of applications across ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

ESXi Infrastructure as Code (Terraform, Ansible) Docker and Kubernetes AWS and/or Azure Atlassian toolset Concourse CI/CD Elasticsearch/Kibana Apache Kafka Helm MongoDB Enterprise web applications and services TOGAF, MODAF or model-based systems engineering Networking monitoring and Red Hat migrations What's on Offer ...

premise/edge environments, using platforms such as AWS or Azure, with a strong understanding of distributed systems and event‐driven architectures (e.g. Apache Kafka, AWS Kinesis, messaging and streaming patterns). Experience designing architectures for high volume, time critical, or sensor driven data, including streaming, time series ...

with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real‐time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/ ...