1 to 25 of 80 Kafka Jobs in Scotland

Maven/Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong problem-solving ...

tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms (AWS, Azure or GCP CI/CD pipelines using tools such as Jenkins or GitLab ...

disabilities to perform the essential functions. Professional Experience Very desirable is experience with Agentic AI in a ELT/ETL capacity (Preferred) Exposure to Kafka or streaming platforms from an infrastructure or operational perspective (Preferred) Experience with observability tooling (logging, metrics, alerting) for cloud platforms (Preferred) Understanding of FinOps ...

Azure or GCP Hands-on exposure to Docker, Kubernetes and CI/CD Git-based development and version control Event-driven systems using Kafka or RabbitMQ Terraform or other Infrastructure-as-Code tools Automated testing with PyTest/Jest Experience working on enterprise-scale platforms Additional: Strong analytical, communication ...

DevOps tools Bonus Points For Terraform, CloudFormation, or other infrastructure-as-code tools Experience with serverless functions (AWS Lambda, Azure Functions) Messaging systems like Kafka or RabbitMQ Familiarity with security protocols such as OAuth2 and SAML QA automation and integration with third-party platforms Why Join Capco ...

backend development experience (Node.js or similar technologies) Demonstrated experience designing and building scalable, distributed systems Experience with event-driven architectures and message brokers (e.g., Kafka, RabbitMQ) Strong understanding of software design patterns and engineering best practices Experience working in Agile development environments Excellent communication and leadership skills, with experience ...

desirable Knowledge of containerisation (Docker, Kubernetes) desirable Strong problem-solving skills and attention to detail Nice to Have Experience with messaging systems (Kafka, RabbitMQ, ActiveMQ) Knowledge of investment banking, retail banking, or payments domain Familiarity with regulatory frameworks (FCA, Basel III, MiFID II) Experience with Agile methodologies (Scrum, SAFe ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows ...

public cloud platforms like AWS, GCP, and Azure, with a preference for AWS.Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

public cloud environments, preferably AWSExperience designing cloud-native, microservices, and event-driven architecturesStrong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java StreamingFamiliarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practicesBonus Points ForExperience using GitLab for CI/CD pipelines ...

public cloud environments, preferably AWSExperience designing cloud-native, microservices, and event-driven architecturesStrong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java StreamingFamiliarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practicesBonus Points ForExperience using GitLab for CI/CD pipelines ...

using Java and Spring Working knowledge and experience in frontend development using React and front-end testing frameworks Experience with messaging platforms such as Kafka Familiarity with automation and continuous delivery methods Solid understanding of the Software Development Life Cycle Working knowledge of agile methodologies such as continuous integration ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms AWS CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern ...

experience building and maintaining microservices using Spring Boot, including RESTful API development, dependency injection, security implementation, and integration with cloud-native and distributed systems. Kafka - Strong knowledge of event-driven architecture and real-time data streaming using Apache Kafka. Experience designing, developing, and supporting producer and consumer applications, ensuring ...

Claude Code, Cursor, or AI-assisted coding CLI workflows) to accelerate code generation, refactoring, and daily execution. Message-Driven Architecture: Hands-on experience with Kafka, Apache Flink, or equivalent real-time event-streaming platforms. Containers & Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation ...

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 ...

platforms and modern data engineering practices. Desirable Skills Experience with Scala development. Experience with Apache Spark or other distributed data processing frameworks. Experience with Kafka, Event Hubs, or other streaming technologies. Exposure to cloud platforms such as Azure, AWS, or GCP. Experience with CI/CD pipelines and DevOps ...

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 ...

skillsFull-stack development experience with Java, Spring Framework, and React JS (including Redux)Experience with event-driven architectures and messaging platforms such as Kafka and IBM MQProficiency in both SQL and NoSQL databasesExperience working with private and public cloud environmentsFamiliarity with Agile and Kanban methodologiesExposure to AI/ ...

skills Full-stack development experience with Java, Spring Framework, and React JS (including Redux) Experience with event-driven architectures and messaging platforms such as Kafka and IBM MQ Proficiency in both SQL and NoSQL databases Experience working with private and public cloud environments Familiarity with Agile and Kanban methodologies ...

areas, please get in touch Spring Boot microservices React and Node.js frontend web application development Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile ...

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 ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience 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 architectures ...

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 ...