1 to 25 of 208 Remote Permanent Kafka Jobs

technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed More ❯

will extensive and deep expertise in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka. Solution architect with broad expertise in wide range of digital technologies in areas More ❯

skills and a pragmatic approach to 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 environments or high-growth More ❯

AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full More ❯

AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full More ❯

AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full More ❯

building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high More ❯

data pipelines. Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL More ❯

of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯

of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯

principles and design patterns. Using ALM tools like Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Familiarity with MATLAB and Python for mathematical processing. Experience with Linux and running containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

Microservices architecture, and RESTful APIs. Strong understanding of multi-threading, concurrency, and performance optimization. Knowledge of SQL and database technologies (PostgreSQL, MySQL, or similar). Experience with messaging systems (Kafka, RabbitMQ) is a plus. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and a keen attention to detail. Experience in financial services or More ❯

Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays Flexible holiday scheme Contributory pension scheme Enhanced family More ❯

modern, enterprise-grade tech stack designed for scale, resilience, and agility. Frontend: React.js (Hooks, Context API) TypeScript Redux Cypress, Jest Backend: Java 11+ Spring Boot RESTful APIs Microservices PostgreSQL Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch) CI/CD with Jenkins Monitoring with CloudWatch, Kibana Why You'll Love Working Here This isn't just a role-it's More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

preferably Postgres and MongoDB. Experience creating and maintaining publicly available REST APIs with a keen understanding of performance optimisation and scalability. Practical knowledge in using message-oriented middleware (Apache Kafka, RabbitMQ) as we're working with event driven microservices. Background with CI/CD and familiarity with AWS, Terraform and Kubernetes. Wir bieten Hybrid-working model with 25-Work More ❯

Vector Search, and Charts Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies: Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and More ❯

across full-stack solutions with real-world impact Your Tech Arsenal Frontend: React.js (Hooks, Context API), TypeScript, Redux, Cypress, Jest Backend: Java 11+, Spring Boot, RESTful APIs, Microservices, PostgreSQL, Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch), CI/CD (Jenkins), Monitoring (CloudWatch, Kibana) Why You'll Love It Here Remote-First Culture - Work from anywhere in the UK? Flexible More ❯