326 to 350 of 713 Kafka Jobs in London

cloud technologies such as AWS. Experience with processing large data sets on Elasticsearch or similar data stores. Experience with event-driven architectures (CQRS, Kafka Streams etc). Excellent knowledge of computer science and networking fundamentals. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect ...

Kubernetes and cloud technologies such as AWS.Experience with processing large data sets on Elasticsearch or similar data stores. Experience with event-driven architectures (CQRS, Kafka Streams etc).Excellent knowledge of computer science and networking fundamentals. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java) for building data workflows and automation. Familiarity with AWS services such as S3, Glue, Lambda ...

dedicated time for your personal development What you'll be working with: Backend: Distributed, event-driven core Java (90% of the code-base), MySQL, Kafka Frontend: Javascript, Vue.js Deployment: Kubernetes, Nomad Data analytics: Python & Jupyter notebooks, Parquet, Docker Testing: JUnit, JMH, JCStress, Jenkins, Selenium, many in-house tools... ...

theorem aren’t just theory here—they’re part of our daily engineering conversations. Our stack includes Java, Vert.x, RxJava, Groovy, Couchbase, and Kafka, built using Terraform , running in Kubernetes on Azure utilising GitHub Actions pipelines. We follow Agile principles, adapting Kanban and other methodologies to fit the team ...

exposure. If you know what an order book is and why a tick matters, say so. Exchange APIs and real‐time/streaming systems (Kafka, Redpanda, NATS). Time‐series stores (ClickHouse, kdb+) and the Arrow/Parquet world. Infrastructure‐as‐code (Terraform) and CI/CD. ...

providing our team members with the support and resources they need to succeed. Tech Stack Java and/or Rust, AWS, FIX protocol, Kafka , Kubernetes and Cloud (AWS or Azure). What We’re Looking For 8+ years of professional software engineering experience using Java. At least 4 years ...

monitoring, metrics and tracing tooling - ELK stack, Splunk, Prometheus, Grafana, Graphite, OpenTSDB, OpenTrace, Jaeger Exposure to message-oriented architecture - ZeroMQ, JMS, AMPS, RabbitMQ, Kafka, Google pub/sub Exposure to process/container orchestration technologies - Mesos, Kubernetes, OpenShift, docker Hi proficiency in data architecture in both SQL and NoSQL ...

unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working knowledge of messaging technologies such as Kafka, RabbitMQ, or Solace.* Solid understanding of Spot, Futures, and Options markets.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC ...

writing, optimizing, and analyzing SQL.Hands-on experience building and operating distributed data platforms on AWS or GCP.Hands-on experience with streaming platforms such as Kafka and Spark. Experience scaling data modeling and warehousing. Proficiency in python. Preferred QualificationsExperience with Cube or other semantic layers. Experience with scheduling tools such ...

Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security ...

architectural decisions and improving engineering standards. Providing technical guidance and support to other engineers. Experience with Azure Service Bus, Logic Apps, Functions, Event Grid, Kafka or RabbitMQ would be advantageous, but it is not essential. You do not need to meet every requirement to apply. We are recruiting across ...

friendly working atmosphere. We have a flat hierarchy and give you the opportunity to make a real impactYour toolkit: You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with ...

experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in software development with object oriented language- Experience in cloud based solution ...

inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid‐cloud and multi‐cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability ...

software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks & Benefits Long-Term Incentive ...

modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation ...

bottleneck is a process, not a pipelineYou're comfortable in the NGA stack or can get there fast: Go (backend), React/Next.js (frontend), Kafka/RedPanda (event-driven), PostgreSQL, running on Kubernetes (AKS)You communicate clearly with engineering leaders and product directors, this role shapes platform strategy ...

data processing within AWS.Hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Knowledge of implementing and maintaining Kafka-based event-driven services. Proficiency in either relational or NoSQL databases, with an understanding of database design, optimization, and management. Champion AI-powered development tools ...

Exposure to monitoring, metrics and tracing tooling - ELK stack, Splunk, Prometheus, Grafana, Graphite, OpenTSDB, OpenTrace, JaegerExposure to message-oriented architecture - ZeroMQ, JMS, AMPS, RabbitMQ, Kafka, Google pub/subExposure to process/container orchestration technologies - Mesos, Kubernetes, OpenShift, dockerHi proficiency in data architecture in both SQL and NoSQL data ...

evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks ...

data processing within AWS. Hands‐on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Knowledge of implementing and maintaining Kafka-based event-driven services. Proficiency in either relational or NoSQL databases, with an understanding of database design, optimization, and management. Champion AI-powered development ...

tooling, and engineering processes. WHAT YOU WILL NEEDTechnical ExperienceStrong experience building backend systems using Kotlin or Java. Experience designing distributed, event-driven systems using Kafka or similar messaging technologies. Strong knowledge of PostgreSQL and relational database design. Experience working with Redis or other NoSQL technologies. Deep understanding of microservices ...

TFServing) Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) CI/CD tooling and best practices Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle ...

based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality ...