1 to 25 of 121 Permanent Kafka Jobs in London

application development. Strong knowledge of Core Java, Spring Framework (Spring Boot, Spring MVC, Spring Security), Hibernate/JPA. Hands-on experience with RESTful APIs, Microservices architecture, and messaging systems (Kafka, RabbitMQ, etc.). Proficiency in RDBMS (Oracle, MySQL, PostgreSQL) and SQL. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with CI/CD pipelines, DevOps tools More ❯

application development. Strong knowledge of Core Java, Spring Framework (Spring Boot, Spring MVC, Spring Security), Hibernate/JPA. Hands-on experience with RESTful APIs, Microservices architecture, and messaging systems (Kafka, RabbitMQ, etc.). Proficiency in RDBMS (Oracle, MySQL, PostgreSQL) and SQL. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with CI/CD pipelines, DevOps tools 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 ❯

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 ❯

on Azure cloud infrastructure with Docker, Kubernetes, automation testing and DevOps (ideally terraform + github actions). Create, monitor and maintain data pipelines and batch processes (databricks, pyspark, lakehouses, kafka). Productionise quant models into software applications, ensuring robust day-to-day operation, monitoring and back testing are in place. Stakeholder engagement: Elicit, validate and translate business requirements from More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the 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 ❯

risk management concepts, or financial forecasting. Excellent problem solving skills and ability to explain technical ideas to non technical audiences. Experience with real time data pipelines, event driven architectures (Kafka/Kinesis), or modern data warehouses (Snowflake, Redshift, BigQuery) is a plus. Our Benefits: Paid Vacation Days Health insurance Commuter benefit Employee Stock Purchase Plan (ESPP) Mental Health & Family More ❯

to evolve to meet our needs. We use ADRs as part of our decision-making process and our architecture is microservices running on Kubernetes with a heavy use of Kafka and even-driven design. Take ownership of tasks from the estimation stage right through until the release stage and post production Identify, troubleshoot and resolve existing or newly-identified 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 ❯

platform solutions 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. Significant expertise in cloud-native deployment using OpenShift, Kubernetes More ❯

platform solutions 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. Significant expertise in cloud-native deployment using OpenShift, Kubernetes More ❯

. Competency in using Git, CI/CD platforms, Docker and Kubernetes. Familiarity with More than one of: C#, Java, Python, and C++ Databases such as: MSSQL, Postgres, Redis Kafka/RabbitMQ or similar event-based platforms Data structures and design/analysis of algorithms Not required, but a bonus Fixed Income products and Interest Rate derivatives (including Risk More ❯

Kanban) Critical thinking and good communication skills Exporure to streaming, messaging or event driven architecture You'll have an advantage if you have experience on: Messaging technologies, such as Kafka or SNS/SQS HTTP, REST or other API technologies (we use OpenSpec or AsyncAPI) Modern DevOps mentality, frequent CI/CD release cycles, aware of the value of 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 ❯

to detail, with a track record of leading and driving projects to completion. Desirable Qualifications: One of: Java, C#, C/C++. PostgreSQL, the database and the query language. Kafka/RabbitMQ or similar event-based platforms. Data structures and design/analysis of algorithms. Analysis of concurrency and parallelism for speed/space performance tradeoffs. Bonus Experience: Exchange 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 ❯

areas directly relevant to data engineering responsibilities and tasks Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake) Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML More ❯

on development experience in an airline, e-commerce or retail industry Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. Experience of building a More ❯

data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working More ❯

details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯

details or to enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. More ❯