1 to 25 of 84 Permanent Kafka Jobs in the North of England

methods (Scrum, BDD, TDD, Kanban). Advantageous skills: Docker, JavaScript: ReactJS and NodeJS preferred, AWS API Gateway and Serverless technologies, Message broker like Apache Kafka, BPM framework, Mustache template. Benefits include – Annual Bonus (to 10%) + Pension + 22 days' holiday (plus BHs) + Healthcare + Death in Service ...

MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation ...

MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation ...

MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation ...

MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation ...

MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation ...

MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

environment Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Desirable Kafka Agile awareness, Jira, Bitbucket Python MariaDB PostgreSQL + Timescale Build Systems (Bamboo, Jenkins, etc) SQL and NoSQL technologies You will have knowledge of software ...

environment Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Desirable Kafka Agile awareness, Jira, Bitbucket Python MariaDB PostgreSQL + Timescale Build Systems (Bamboo, Jenkins, etc) SQL and NoSQL technologies You will have knowledge of software ...

/Principal Engineer delivering public sector or GDS-aligned digital services ? Deep understanding of modern software engineering : Microservices, APIs, REST/GraphQL, message queues (Kafka/RabbitMQ) Domain-Driven Design, event-driven systems, modular monoliths Cloud architecture AWS, Azure or GCP (landing zones, VPCs, IAM, security) ? Strong background ...

containerization (Docker) and orchestration (Kubernetes). Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.). Knowledge of messaging systems (Kafka, RabbitMQ, or similar). Familiarity with cloud environments ( AWS/Azure/GCP ). ...

JavaScript Experience in developing and deploying microservices architectures using Spring Boot, Spring Batch, Spring Data, or similar frameworks Knowledge of JIRA, Junit, and Apache Kafka are preferred Hands-on experience with NoSQL DB (CosmosDB, MongoDB) In-depth knowledge of REST API principles, protocol Familiarity with containerization tools and cloud ...

philosophy • Ability to manage competing priorities in a dynamic environment Desirable Experience • Exposure to IoT data ingestion and stream processing (MQTT, Kafka, Kinesis, etc.) • Familiarity with data lake/analytics environments (S3, Athena, Snowflake, BigQuery) • Experience with security frameworks (CIS Benchmarks, NIST, SOC2) • Previous work in regulated industries (water ...

commitment to engineering best practice Collaborative mindset and continuous-learning approach Desired Financial services or regulated-industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) Collibra integration Python proficiency In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP ...

stack where integration is required. You’ll collaborate with cross-functional teams and engage with a broader technology ecosystem that includes Java, TypeScript, AWS, Kafka, Spring, MySQL, and Kubernetes, so familiarity with backend and infrastructure concepts is a plus. We also develop and maintain mobile applications (iOS and Android ...

cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...