151 to 175 of 713 Kafka Jobs in London

today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key ResponsibilitiesWork with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platformLeverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence ...

hands on experience in front office trading environments or similarly high pressure, low latency domains. Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB Demonstrated experience using enterprise-authorized AI capabilities within the work environment ...

experience working with relational databases including schema design, access patterns, query performance optimization, etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. Container-based deployment experience using Docker and Kubernetes. Strong ...

review* Strong Java/Spring Boot background with demonstrable experience designing cloud-native microservices at scale* Experience designing and operating event-driven systems using Kafka or equivalent messaging platforms* Hands-on exposure to API gateway technologies and federated API management across multiple consumer profiles* Experience operating in a regulated ...

Solution Architect, or similar role within financial services. Strong knowledge of integration technologies such as: API gateways (e.g. Kong, APIm etc), Messaging systems (e.g., Kafka, MQ), ESB/iPaaS platforms. SAP knowledge will be plus. Experience with APIs, event-driven architectures, and microservices. Familiarity with cloud platforms (Azure ...

Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform). Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio ...

Angular, Node.js, C#/.NET Core 10+ and SQL Server 19+. Programming: JavaScript and TypeScript Architecture: Microservices and distributed applications Event-Driven Architecture: Apache Kafka Kafka: Producers, consumers, topics, partitions and consumer groups Cloud: AWS application deployment and support DevOps: CI/CD pipeline implementation and automation Containers … with Open API standard Source Control: GitHub and Azure DevOps Production Engineering: Troubleshooting, monitoring, logging and performance optimization Highly Desirable Amazon MSK or managed Kafka experience AWS EKS/ECS Terraform/AWS CloudFormation AWS Lambda, API Gateway, SQS, SNS and EventBridge Redis and distributed caching CloudWatch, ELK/ ...

Angular, Node.js, C#/.NET Core 10+ and SQL Server 19+. Programming: JavaScript and TypeScript Architecture: Microservices and distributed applications Event-Driven Architecture: Apache Kafka Kafka: Producers, consumers, topics, partitions and consumer groups Cloud: AWS application deployment and support DevOps: CI/CD pipeline implementation and automation Containers … with Open API standard Source Control: GitHub and Azure DevOps Production Engineering: Troubleshooting, monitoring, logging and performance optimization Highly Desirable Amazon MSK or managed Kafka experience AWS EKS/ECS Terraform/AWS CloudFormation AWS Lambda, API Gateway, SQS, SNS and EventBridge Redis and distributed caching CloudWatch, ELK/ ...

practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop). Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis). End-to-end exposure to data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). Hands ...

PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/ ...

PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/Kubernetes/ ...

maintainable solutions. Preferred Qualifications Experience with Argo CD, Helm, or other GitOps tooling. Familiarity with Airflow, Snowflake, or Apache Iceberg. Experience with Apache Kafka or Amazon MSK. Experience with hybrid cloud, enterprise networking, or multi-account AWS environments. Experience with Ansible or similar configuration management tools. Experience in financial ...

ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time ...

Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise ...

will find this uncomfortable. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. The Zego ways of working Teams work better with time to collaborate and space ...

ahead and working smarter. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? Joining Zego is a career‐defining ...

frameworks. Experience with Terraform or Databricks Asset Bundles. Exposure to MLflow, MLOps or AI and Generative AI workloads. Experience with streaming technologies such as Kafka or Structured Streaming. Databricks certification. Previous consulting or client-facing delivery experience. Why Join Unifeye? We're building a consultancy where talented people ...

referential transparency, algebraic design) . Web services architecture knowledge (REST, , HTTP stack, JSON codecs) Familiarity with message brokers/event-driven boundaries (e.g., Apache Kafka ) . Good understanding of local development tooling and environments. Experience working with payment platforms such as Stripe, Google Pay or Apple Pay. Experience with ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...

develop homogenous data repositories to deliver data led decision making. Ingest data from various sources, including on premise SQL databases, REST API’s, Apache Kafka streams, etc. Define and apply cleansing rules to the data to ensure meets quality expectations. Define and model data for its appropriate use including ...

Enterprise Architecture OAuth, SAML, JWT, Security Best Practices CI/CD, DevOps Cloud Platforms (AWS, Azure, GCP) Preferred Skills SAP, Salesforce, Oracle, Workday integrations Kafka/Event Streaming Apigee, MuleSoft, Azure API Management Microservices, Docker, Kubernetes Required Skills & Experience Senior experience in Integration/Middleware technologies. Hands-on Dell ...

platforms (AWS, Fastly). Solid knowledge of RESTful APIs and microservices architecture. Experience with databases (PostgreSQL, MySQL, NoSQL databases). Proficiency with message queues (Kafka, RabbitMQ). Strong DevOps experience, including: CI/CD pipelines (GitHub Actions). Containerization technologies (Docker, Kubernetes). Monitoring & logging tools (Prometheus, Grafana ...

approaches Experience operating distributed, cloud-native environments with complex failure modes Experience working effectively in autonomous, empowered teams aligned with product outcomes Skills in Kafka, Java/Spring Boot microservices, resilient service design patterns, and continuous deployment practices Будет плюсом: exposure to agentic coding practices Условия Hybrid work model ...

Skills for the Senior Python Developer: Telecoms or network automation experienceKnowledge of 4G Core, 5G or Service Based Architecture (SBA)Experience with RabbitMQ or Kafka and event driven architecturesOpenStack experienceInfrastructure as Code knowledgeTest automation experience using Pytest, Selenium or PlaywrightMonitoring experience using Grafana, ELK Stack or PrometheusExperience working within ...

performance troubleshooting. Desirable Skils: Familiarity with TOGAF, Zachman, or SAP’s Enterprise Architecture Framework. Exposure to microservices‐based architectures and event‐driven systems (e.g., Kafka, Event Hub). Experience with SAP BTP advanced services (Workflow, Business Rules, Event Mesh, API Management). Knowledge of DevOps/CI‐CD pipelines ...