1 to 25 of 67 Remote Kafka Jobs in London

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 ❯

a broad set of tools, techniques, and platforms, with a focus on proving it works and does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience working with container environments in More ❯

product and engineering team, delivering cutting edge software solutions. Our Technology Our current technology stack is outlined below: Go, Python, Java React Native, Android Apps (Kotlin) AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux More ❯

BDD principles Experience with CI/CD pipelines (GitLab CI desirable) Familiarity with Docker and containerisation (Kubernetes/EKS desirable) Ability to work in Agile delivery environments Knowledge of Kafka SC Security Clearance - Active £ 525.00/day Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and More ❯

Git-based workflows Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with More ❯

take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would bebeneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able More ❯

and reliability. Experience in a highly Agile continuous integration and continuous deployment environment, preferably within a financial domain. Strong experience in Java/J2EE, Spring Boot, Mule, web Services, Kafka, SQL & PL/SQL (Oracle) Strong knowledge of XML, JSON and its usage within API and Microservice implementations at scale. Experience in OpenShift, Kubernetes or any one the container More ❯

Some applications also use GraphQL. Backend: The new platform is being built out using Kotlin in a micro service based architecture and is deployed within Kubernetes/OpenShift containers. Kafka is used as the core messaging layer. GraphQL server. Best practices around DevOps techniques are expected to be utilised with real-time monitoring and metrics part of the key More ❯

take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would bebeneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able More ❯

backend services using Java and Spring. Work with databases, including SQL (e.g., Postgres) and NoSQL (e.g., DynamoDB). Build, test, and optimize technical solutions. Develop event-driven systems leveraging Kafka for messaging. Work closely with cross-functional teams, including frontend engineers, UX, and product management. Contribute to architectural decisions, ensuring maintainability, scalability, and high performance. Take full ownership of More ❯

a plus. Solid understanding of CI/CD practices, ideally using Azure DevOps. Strong grasp of design patterns and SOLID principles. Nice to have: OAuth2, MongoDB, and RabbitMQ or Kafka Power BI, SSAS, SSIS, SSRS SpecFlow, TDD, TypeScript Azure Cloud Platform, especially Infrastructure as Code (Terraform) We offer: Were committed to creating an inclusive environment that embraces diversity and More ❯

for: Tech Stack Expertise - Skilled in TypeScript (Node.js mainly but also React, this role is more focussed on the backend) & Cloud technologies such as AWS. Familiarity of Kubernetes, GraphQL, Kafka, and Mongo would be desirable. Architecture & Problem-Solving - You have the ability to design systems that manage high traffic efficiently while integrating smoothly into complex environments. Tooling & Collaboration - Comfortable More ❯

solutions. Implement LLM apps and RAG pipelines (LangChain/LlamaIndex, vector DBs like Pinecone, Weaviate, FAISS). Work with structured/unstructured data to build pipelines (SQL, Spark, Databricks, Kafka/Kinesis) and feature stores. Deploy and scale with MLOps best practice (MLflow, W&B, Kubeflow, Docker/Kubernetes, CI/CD). Optimise performance, latency, and cost trade More ❯

solutions. Implement LLM apps and RAG pipelines (LangChain/LlamaIndex, vector DBs like Pinecone, Weaviate, FAISS). Work with structured/unstructured data to build pipelines (SQL, Spark, Databricks, Kafka/Kinesis) and feature stores. Deploy and scale with MLOps best practice (MLflow, W&B, Kubeflow, Docker/Kubernetes, CI/CD). Optimise performance, latency, and cost trade More ❯

and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional Information Were a community here that cares as much about your life outside work as how you feel when youre with us. Because your job shouldnt take over More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and healthcare compliance (GDPR, HIPAA, ISO 62304) Strong software More ❯

technical leadership, stakeholder management, and hands-on experience with enterprise-scale migrations.??? Tech Environment: STIBO STEP (PIM)? Java 17+ (Java 21 preferred) Micronaut/Spring Boot? JUnit/Mockito? Kafka/MongoDB? GraphQL Federation/REST APIs? Gradle? Terraform/OpenTelemetry/Dynatrace Key Responsibilities: Architect and lead the end-to-end migration of STIBO STEP to SaaS Collaborate More ❯

Education Cloud-Student Systems Implementation Desirable Experience Knowledge of student lifecycle processes in Higher Education and relevant data domains. Knowldge of event-driven and message-based architectures (Event Hub, Kafka, or Service Bus) Experience with monitoring and observability tools like Azure Monitor, Application Insights, and Log Analytics. Awareness of data security, GDPR, and compliance in educational or public sector More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯