12 of 12 Kafka Jobs in Scotland

bring Strong hands-on experience with Java (23+) and Spring Boot Knowledge of RESTful API design, JSON and Web Services Experience of Kafka and Dockerised development Background in Test Driven Development using tools such as JUnit or Mockito Understanding of clean code principles, SOLID design and modern engineering practices ...

pipelines. Design Principles: Strong grasp of software design principles and patterns. Preferred Skills Experience with public cloud platforms (AWS, Azure, GCP). Familiarity with Kafka, MQ, or other streaming services. Exposure to AI-assisted development tools such as Co-pilot. ...

Containerisation & Kubernetes, CI/CD pipelines, and building secure solutions Spanner DB. Desirable: Expertise in Infrastructure as Code. E.g. Terraform Experience in Kafka Knowledge of Dynatrace About Us We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become ...

Telemetry Public cloud experience – they use AWS and Azure. Beneficial if you can script/code – Python, Ruby, JSON etc. Messaging/Streaming products - Kafka, IBM MQ, IBM IIB/ACE – also beneficial This is a Lead level role so experience leading a team from either a tech perspective ...

/ML data pipelines and analytics platforms Preferred Qualifications Experience with cloud data platforms (AWS, Azure, GCP) Experience with big data technologies (Hadoop, Spark, Kafka) Familiarity with UML/SysML Strong understanding of API integration and microservices data flows ...

migration project. Breadth of experience across a wide variety of products and tools. The following is to give you an idea of the environment – Kafka, Snowflake, Databricks, Lakehouse, Fabric, MongoDB, AWS/Azure, Astronomer, Power BI etc. Please note: This is a Hybrid role and requires 3 days ...

governance standards covering data quality, metadata, lineage, retention, and regulatory compliance. Architect ETL/ELT and streaming pipelines using modern tools (e.g., ADF, Databricks, Kafka, Fabric). Ensure security and compliance via IAM, encryption, data zoning, RBAC, and platform best practices. Drive performance optimisation across queries, pipelines, compute clusters ...

modern cloud-native architectures* Strong stakeholder management skills, with the ability to translate complex technical decisions into business outcomes* Experience with event-driven architectures (Kafka, MQ, or similar) highly desirable* Excellent analytical, problem-solving, and strategic thinking capabilities Want to lead architecture at VP level? This is a rare ...

Strong stakeholder management and governance experience. Highly valued experience Banking domains such as payments, onboarding, transaction processing, or treasury. Modern messaging and event platforms (Kafka, MQ, real-time streaming). Navigating and modernising legacy estates alongside cloud-native platforms. Architecture economics: cost modelling, capacity planning, and optimisation. Why join ...

Role: Customer Support Engineer - GridOS (Kubernetes + Kafka)Experience with GridOS or other grid data management platforms. If you are considering sending an application, make sure to hit the apply button below after reading through the entire description. Knowledge of utility operations, grid modeling, and distributed energy resource management. ...

Role: Customer Support Engineer - GridOS (Kubernetes + Kafka) Experience with GridOS or other grid data management platforms. Knowledge of utility operations, grid modeling, and distributed energy resource management. Familiarity with real-time data streaming and IoT integration. Key Responsibilities: Design and implement GridOS Data Fabric solutions to streamline data … Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work ...

real‐time and batch processing. The platform makes extensive use of Azure Databricks , Apache Spark, and Delta Lake to support high‐throughput data pipelines. Kafka and Azure Event Hubs are used to implement reliable, event‐driven architectures, with schema management and stream processing forming core parts of the system. … worked hands‐on with Azure and have experience operating Databricks platforms supporting both streaming and batch workloads. You will have practical experience working with Kafka or Azure Event Hubs, including designing partitions, managing consumer groups, and understanding delivery semantics. You're confident working with SQL, have experience with data ...