1 to 25 of 167 Kafka Jobs in the City of London

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

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 More ❯

Experience working with cloud platforms (AWS preferred) and CI/CD pipelines. Strong understanding of relational databases (e.g., PostgreSQL) and messaging systems (e.g., RabbitMQ, Kafka). Nice to Have: Experience in the FinTech or lending space. Exposure to domain-driven design (DDD) and event-driven architecture. Knowledge of testing More ❯

AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (e.g., Apache Kafka, Talend, Informatica) and APIs . Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming Expertise in cloud security , data governance , and More ❯

Java (Java 11 or later). Strong experience in designing microservices and distributed systems. Solid grasp of Spring/Spring Boot, REST APIs, messaging (Kafka/RabbitMQ), and cloud-native development. Proven leadership in technical decision-making and mentoring developers. Experience with cloud platforms (AWS, GCP, or Azure). More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

native data services (e.g., Databricks, Snowflake). Understanding of data modelling (relational, NoSQL) and ETL/ELT processes. Experience with data integration tools (e.g., Kafka, Talend) and APIs. Familiarity with big data technologies (Hadoop, Spark) and real-time streaming. Expertise in cloud security, data governance, and compliance (GDPR, HIPAA More ❯

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 More ❯

Skills: Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. More ❯

trading systems or similar domains. Microsoft C# .Net backend, React front end and Java components. Experience with low-latency, high-throughput messaging systems (e.g., Kafka, RabbitMQ, or proprietary systems). Expertise in cloud technologies and deployment pipelines (AWS, GCP, or Azure). Expertise in performance profiling and optimisation. In More ❯

MTMX SEPA RTGS Experience with Temenos Transact T24 data structures APIs and accounting framework Proficient in working with web services RESTSOAP message queues eg Kafka MQ and middleware Strong understanding of payments lifecycle and real time processing requirements Familiarity with Temenos Deployment Framework TDF and DevOps pipelines is a More ❯

and performance optimisation. Preferred Skills: Experience integrating AI/ML models or tools into production applications. Exposure to real-time systems, messaging queues (e.g., Kafka, RabbitMQ), or event-driven architectures. Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity More ❯

using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized firm tech stacks, especially in financial services, including systems such as NetSuite, Salesforce, Addepar, Experience with Atlassian Jira More ❯

with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid More ❯

to monitoring/logging tools (e.g., CloudWatch, ELK, Prometheus) Knowledge of security best practices in API and cloud development Familiarity with data streaming using Kafka or Kinesis More ❯

Kubernetes, Helm, Spring Boot, Java, Python) Strong proficiency in AWS cloud services, including EC2, Lambda, S3, RDS, API Gateway, and IAM. Experience working with Kafka Hands-on experience with API development, RESTful principles, and API management platforms. Proven track record of delivering projects using agile methodologies (Scrum, Kanban, etc. More ❯

MTMX SEPA RTGS Experience with Temenos Transact T24 data structures APIs and accounting framework Proficient in working with web services RESTSOAP message queues eg Kafka MQ and middleware Strong understanding of payments lifecycle and realtime processing requirements Familiarity with Temenos Deployment Framework TDF and DevOps pipelines is a plus More ❯

solutions. Work within an Agile environment. Collaborate with cross functional teams. What you will need Strong experience in Scala Excellent communication skills. Experience in Kafka, Docker, Kubernetes Cloud experience in either AWS, Azure, GCP A right to work in the UK without sponsorship. Find out more If you would More ❯

Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers More ❯

attention to detail. Excellent communication and collaboration skills. Nice to Have: Experience with containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. More ❯

best practices Understanding of APIs, OAuth2, WebSockets, and microservice architecture ? Bonus Skills Experience in energy, commodities, or financial trading environments Knowledge of data engineering, Kafka, Terraform, Conda, Bokeh Exposure to working directly with traders or analytical model users ? Why Join? Impact a high-value, fast-paced global trading environment More ❯

with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in More ❯

. • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi More ❯

and microservices Collaborating across tech and business teams Supporting cloud-based and DevOps-first deployments Tech you'll be using: C#/.NET Core Kafka/RabbitMQ (or similar messaging frameworks) SQL Server Azure or AWS CI/CD tools (Azure DevOps, TeamCity) Docker/Kubernetes (nice to have More ❯

use opensource technologies to make sending, trading and accessing assets in real-time achievable. Requirements: 6+ years in any JVM language (ideally Core Java) Kafka Streaming Kubernetes Cloud (AWS) TDD, Pair Programming, Agile Engineering STEM degree Worked in a Start Up/Scale Up Environment Strong Architectural Influence Please More ❯