1 to 25 of 32 Kafka Jobs in Central London

production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform (AWS, Azure, or GCP). Strong understanding of data warehousing concepts , dimensional modelling ...

teams within fast-paced environments. Deep expertise in: Python (Django, Flask, or FastAPI) PostgreSQL (design, optimisation, maintenance) Containerisation (Docker/Kubernetes) Event-driven architecture (Kafka/RabbitMQ) Desirable experience includes: TypeScript/JavaScript (NextJS, NodeJS, Tailwind) Terraform and DevOps practices Experience in building and scaling SaaS platforms in production. ...

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. ...

financial services, or banking systems. Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have : Familiarity with messaging systems (Kafka, RabbitMQ, etc.) Exposure to container security and performance tuning on OpenShift. Knowledge of payment gateways, ISO 20022, or SWIFT formats. • Collaborative, fast-paced ...

observability (Application Insights, Log Analytics) Secrets management and vulnerability scanning (Key Vault, SonarQube, OWASP) Microservices and event-driven design (Service Bus, Event Grid, Kafka) Domain-Driven Design (DDD) principles Overall experience: 8+ years in software engineering, with deep full-stack and cloud experience. Proven record of leading ...

understanding of high‐availability, security, and data‐consistency trade‐offs Eventing & Distributed Systems Experience with event‐driven architectures Messaging or streaming technologies such as: Kafka AWS SQS Similar eventing systems Platform & Technical Leadership Deep experience with AWS, Docker, and CI/CD practices Proven ability to mentor engineers ...

Vertex AI); containerization (Docker/Kubernetes) and service meshes. Data & Integration : SQL, NoSQL, data warehousing concepts (fact/dimension, SCD), ETL/ELT, streaming (Kafka/Event Hubs), API design, and secure integration (OAuth2/JWT/RBAC). LLMOps/MLOps & Automation : CI/CD for models, model ...

scale .NET Core applications and service‐oriented architectures. Modernize legacy systems through microservices, REST/gRPC APIs, and event‐driven architectures (Azure Service Bus, Kafka). Implement secure DevSecOps practices—SonarQube, Checkmarx, Vault, Azure API Management—in line with enterprise compliance standards. Intelligent Automation & Cognitive Services Drive ...

into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages: Proficiency ...

/FedNow services , and internal systems like Core Banking or Treasury. Develop components supporting real-time payments , event-driven processing , and asynchronous messaging (Kafka, JMS) . Ensure code performance, reusability, and compliance with secure coding and resiliency standards. Payments System Modernization Collaborate with architecture and product teams on payments … Experience with ISO 20022/SWIFT/SEPA/RTP/ACH message structures and transformations. Familiarity with message queues and event-driven systems (Kafka, JMS, RabbitMQ). Good understanding of database design (SQL/NoSQL) and experience with Oracle, PostgreSQL , or similar systems. Exposure to cloud environments ...

Strong knowledge of DevOps - experience with CI/CD (Gitlab) • Experience dealing with highly scalable systems with high throughput • Experience with Postgres, Terraform, Kafka and Containers with be beneficial • Testing experience (TDD) • Excellent verbal and written communication skills Does this sound like an opportunity that might be of interest ...

Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). Benefits of working at Canada Life We believe ...

PostgreSQL, Redis, Docker, Kubernetes, and AWS. • Strong focus on security, scalability, and reliability. Nice to Have: • FinTech, Crypto or payments experience. • Message brokers (Kafka, RabbitMQ, etc.). • Regulated or compliance-heavy environments. Benefits: • Hybrid/remote working In Central London • salary up to £90k and up to 20% bonus. ...

languages also considered Cloud: AWS (current environment) Frontend: Angular Svelte React experience also relevant Data/Messaging: Strong database fundamentals (Postgres, ClickHouse or equivalent) Kafka or similar real‐time messaging technologies What We’re Looking For Strong software engineering experience in Front Office or real‐time trading environments Proven ...

Azure,orGCP). Demonstratedabilitytoleadwithoutmicromanaginghands-offbuttechnicallycredible. TechnicalEnvironment Ourplatformisbuiltusingmodern,cloud-nativetechnologies,including: Technologies .NET/C#(coreplatformservices) React RESTfulAPIs&event-drivenservices Data&Messaging PostgreSQL Redis Kafka Cloud&Infrastructure MicrosoftAzureand/orAWS Kubernetes Terraform/InfrastructureasCode CI/CDpipelines(AzureDevOps/GitHubActions) Thereisa3stageinterviewprocesswithinterviewslotsnowavailable,applynowtobeconsidered. ...

equivalents. Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: Kafka/Kinesis, Airflow, CodePipeline. BI tools (Power BI/Tableau). Docker/OpenShift; metadata driven pipelines. 3-8+ years Data Engineering experience. ...

systems. Strong foundation in version control, CI/CD pipelines, and software lifecycle best practices. Nice to Have Experience with message queues such as Kafka, RabbitMQ, Pulsar, or NSQ. Experience integrating with 3rd‐party services or financial data providers. Familiarity with performance budgets, monitoring, and observability tooling. Knowledge ...

around code quality, testing and reliability Participate in team support and operational responsibilities Technology Environment Core Java (deep JVM knowledge – minimal reliance on frameworks) Kafka & event-driven architectures Low-latency, high-throughput systems Kubernetes (services, deployments, stateful sets) Terraform Hazelcast/Hazelcast Jet (bonus) Get in touch! - Darnell@Thyme.Global ...

PropTech or property data. Cloud experience (AWS/GCP/Azure). Docker/Kubernetes, CI/CD, and event-driven data tools (Kafka/Kinesis). Knowledge of data governance in SaaS environments. ...

delivery of real-time video, data, and AI analysis on their sports content platform. Core Stack: Backend: Java 21, Kafka, Postgres, Docker, Terraform Frontend: SolidJS, TypeScript Infra: AWS (Serverless & Containers), Confluent AI Ops: Heavy daily use of AI Coding Assistant (Claude Code) Who You Are Keep current with tech ...

lives. Nice to have Exposure to Node.js/NestJS services (or similar), authentication flows, and fintech integrations. Familiarity with Postgres , event-driven systems (e.g., Kafka ), and cloud infrastructure (e.g., AWS , Docker, CI/CD). How You’ll Make a Difference Build core mobile features: Deliver secure, scalable React ...

building production-grade Python systems for data-heavy businesses; comfortable with tests, version control and optimisation. Confident SQL , exposure to REST and messaging (Rabbit, Kafka, etc.), and enough Linux to troubleshoot on the command line. Solid grounding in financial products & risk metrics —equities, bonds and derivatives; VaR, stress ...

accountability Comfortable making decisions independently and driving initiatives without close oversight Bonus Experience testing or benchmarking ML models and systems Familiarity with streaming systems (Kafka) and event-driven architectures Experience with observability tools (logging, metrics, tracing) Understanding of logistics, supply chain, or IoT systems Experience as the first ...

technical concepts clearly Nice to Have: Experience building websocket services and real-time APIs Familiarity with message queues or stream-based data pipelines (e.g. Kafka, RabbitMQ) Prior exposure to the crypto, blockchain, or traditional financial markets Degree in Computer Science or similar, or equivalent practical experience Location & Working Setup ...

scaling of the platform globally. The right engineer should bring experience with Neo4j, production grade LLM/AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java/JVM and API-first architecture. The position offers a rare modernisation opportunity, you'd be transitioning from a third-party engineering team ...