19 of 19 Permanent Kafka Jobs in Central London

their output, and maintain quality over AI‐generated work product. Experience building event‐driven and distributed systems , including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies. Strong SDLC practices : version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality ...

tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. Git, Jenkins ...

faster and more efficient delivery. Your Profile Essential skills/knowledge/experience: Strong experience with Google Cloud Platform (GCP) services Knowledge of Kafka Google Kubernetes Engine (GKE) VPC design, subnets, firewall rules, load balancers Cloud Storage, Cloud SQL Cloud Monitoring, Cloud Logging, Error Reporting Strong experience in DevOps ...

orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks Solid foundation in distributed system design , including state management, retries, error handling, and resilience Experience with business process automation or workflow ...

essential). Handson experience with DevOps, CI/CD, automated testing, and operating what you build. Familiarity with modern event driven technologies, particularly Kafka Experienced in cloud environments (preferably Azure ) and container platforms such as Kubernetes. Strong understanding of modern backend development, platform adjacent standards, and scalable architectural patterns. ...

communication, time management and collaboration in diverse, multi‐disciplinary teams. Nice to have Document & graph stores (e.g., Neo4j) and streaming patterns (Event Hub/Kafka). Azure/AWS Solutions Architect exposure; optional governance/model‐risk/responsible‐AI credentials. Technical Certifications (preferred) Microsoft Azure AI Engineer Associate ...

relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment ...

with this vacancy only. KEY SKILLS Solace, PubSub+, Messaging Administrator, Linux, Prometheus, Grafana, WAN, Low Latency Systems, Distributed Systems, Python, Bash, Infrastructure, Production Support, Kafka, RabbitMQ, Docker, Kubernetes, AWS, Azure, Messaging Systems ...

scalable solutions We’d love to see Proficiency with modern C++ (C++17 or later) in Linux environments Experience with streaming or messaging technologies, e.g., Kafka Knowledge of service‐oriented or microservices architectures Interest in performance optimization, reliability engineering, and observability Curiosity about financial markets and how technology drives trade ...

Technical Skills API development ( REST/GraphQL ) and third-party integrations Strong knowledge of databases (SQL & NoSQL) Experience with event-driven systems/messaging (Kafka, RabbitMQ, SQS, etc.) Solid understanding of system design, architecture patterns, and testing frameworks Hands-on experience with monitoring, observability, and instrumentation Leadership & Impact Strong ...

months About the role: Experience with C#/.NET Additional languages highly desirable ie Java, Python React/TypeScript RESTful API design Apache Kafka PostgreSQL Git/GitHub workflows Experience with Kubernetes deployments; able to build CI/CD pipelines About you (ideally): As a Senior Software Engineer/ ...

container-based and/or serverless environment, hosted on public cloud (AWS EKS and Kubernetes preferred) Experience working with data pipeline technologies, such as Kafka, Flink, AWS SNS/SQS/Kinesis, etc. Solid understanding of CI/CD concepts, including version control, branching models, appropriate quality control techniques ...

Curious, proactive, and a strong problem solver Able to work both independently and as part of a team Tech Stack Python, C++, Docker, Kubernetes, Kafka, LXC/LXD, Grafana, Prometheus Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. ...

Data Platform Engineer to design and deliver scalable cloud-native data solutions supporting advanced AI capabilities. Skills: Azure (Must have) , Python, Docker/Kubernetes, Kafka/Kinesis/MSK, modern data platforms and pipelines. Experience with vector/graph databases and AI workflows is a plus. What ...

development Experience developing Web APIs using Flask, FastAPI, Streamlit, or other leading Python frameworks Experience in Azure Cloud environments (AKS) Experience with streaming data (kafka, Azure Service Bus) This London based role offers a competitive salary and a hybrid working structure. This is a great opportunity to join ...

Maven. Experience with Spring (Boot, Security) and other Java frameworks. Experience with BPM tools such as Camunda (preferred), jBPM, Activiti, Pega Experience with using Kafka and good understanding of Kafka Architecture. Experience with database applications such as Postgres, Oracle, MySql, DB2 and with JDBC and ORM tools. Experience ...

must Programming/scripting knowledge Basic SQL CloverDX or other ETL system experience is preferred Knowledge of data transfer protocols preferred (e.g., FIX, sFTP, Kafka, MQ) Ability to think strategically and fully understand a problem before identifying a solution Meticulous attention to detail Ability to manage multiple projects ...

automation and decision intelligence Ensure responsible AI, explainability, and governance by design Data & Real-Time Intelligence Implement real-time and batch data pipelines (Kafka, Spark, Airflow) Enable advanced feature engineering and predictive analytics Support streaming inference and operational AI use cases Scaled Delivery & Transformation Lead multi-disciplinary AI teams … TensorFlow, PyTorch, XGBoost, transformer architectures MLOps & LLMOps: MLFlow, Kubeflow, SageMaker, KServe, vector DBs Cloud & Platform Engineering: AWS, Azure, GCP, Kubernetes, Terraform Data Platforms: Spark, Kafka, Snowflake, Airflow Responsible AI: Explainability (SHAP), model governance frameworks Business Impact Accelerated AI adoption from PoC to production Reduced time-to-market ...

enrichment workflows, graph modelling, and stakeholder reporting on metrics. Ideally you will possess data quality analyst capabilities and/or focus on pipeline architecture, Kafka integration patterns, and export service development. These roles will entail writing production code, both will engage with data quality, and both will contribute … months. About the role/Experience with: Experience with Python for data pipelines, export services, ETL, reconciliation, profiling scripts Data quality assessment Apache Kafka PostgreSQL for data modelling, query design, migrations etc Data modelling and schema design REST API design Ideally you will have: Experience of C# ...