626 to 650 of 1,234 Kafka Jobs in the UK

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. ...

experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).Industry knowledge: Experience in gaming or digital entertainment is a strong plus. This ...

inventories, schemas, field dictionaries and lineage from databases, filesystems, message platforms and API surfaces, in addition to conventional data pipelines. Event-driven integration with Kafka or similar, including secure producer patterns (mTLS or equivalent) and schema-managed topics. Experience with search and document stores that back catalogue platforms (e.g. ...

Have Qualifications*** Experience with telecom digital twin platforms.* Experience with vector databases, embeddings, semantic search, or RAG.* Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming.* Experience supporting closed-loop automation, predictive assurance, or self-healing network use cases.* Experience working with ...

ability to architect and demo enterprise-grade solutions liveProficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent)Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutionsTrack record of leading complex ...

scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search ...

from conception to production monitoringCollaborate directly with product, design and data experts to shape solutionsYour 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 a willingness to learn. ...

base systems). Distributed systems: Expert-level knowledge of Python, REST, GraphQL, gRPC, protobuf, Docker, Ansible and message buses (NATS, Kafka or RabbitMQ). Architectural judgement: The ability to make principled trade-offs between performance, safety, maintainability, and scalability. Collaborative leadership: You can align chemists, mechanical engineers, and software ...

part of a supportive and empathetic cross-functional delivery team. React and Node.js frontend web application development Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you’ll be working with Working in an agile product team ...

Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka).Domain experience within Fintech, E-commerce, or fast-scaling tech companies. Additional InformationInterested? Find out more: How we work – a practical guideDEI @ WiseWise Tech ...

with payments, financial systems, or compliance-heavy environments Experience building systems at global scale Familiarity with event-driven architecture and messaging systems such as Kafka Experience with customer-facing financial products API-first development experience Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech ...

chain and off-chain state) Experience with PostgreSQL - complex query optimization, indexing strategies, and schema/migration management Experience with event driven architecture like Kafka or PubSub Strong grasp of software design principles (e.g., SOLID, DRY) and testing methodologies (unit, integration, and end-to-end testing) Experience designing ...

high-performance, low-touch trading systems. Ability to troubleshoot complex software issues and optimize application performance. Experience with messaging systems such as AMPS or Kafka for real-time data streaming and processing. Experience with Cucumber for behavior-driven development and testing in Java environments. Experience with automation tools ...

technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling ...

technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transportFlink for (near) real time processingDatahub as our catalogBigQuery as our warehouseAirflow (GCP Composer) for schedulingDBT for data transformationMontecarlo for monitoringThe platform ...

processing systems handling large-scale (big data) volumes in near real time. Hands-on exposure to technologies such as HDFS/S3, Snowflake, SingleStore, Kafka (or similar streaming systems), Flink (or similar distributed processing frameworks), and Java/Scala (Python optional). Excellent communication skills, with the ability ...

Lambda, API Gateway, S3, DynamoDB, RDS)* **Database Architecture**: Experience with Snowflake, relational databases, NoSQL; understanding of data modeling best practices* **Event-Driven Architectures**: Kafka or Kinesis; exactly-once processing; schema registries (Confluent, AWS Glue)* **API & Service Design**: REST, gRPC, GraphQL; versioning and backward compatibility at scale* **Distributed Systems**: Microservices ...

understanding of software development fundamentals, data structures, design patterns, object-oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. Proven track record in implementing and supporting market data processing ...

people, head to our tech blog. What you'll be doing Designing and building new features and enhancements using Java 17+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker. Collaborating with cross‐functional teams and stakeholders to shape solutions and align on priorities. Taking ownership ...

processing systems handling large‐scale (big data) volumes in near real time. Hands‐on exposure to technologies such as HDFS/S3, Snowflake, SingleStore, Kafka (or similar streaming systems), Flink (or similar distributed processing frameworks), and Java/Scala (Python optional). Excellent communication skills, with the ability ...

legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores ...

legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores ...

language — Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation ...

language — Python is required . Proficiency in at least one object-oriented language. Experience with big data technologies such as HDFS, YARN, MapReduce, Hive, Kafka, Spark, Airflow, or Presto. Experience with AWS, GCP, or Looker (advantageous but not essential). Solid background in data modelling, including the design, implementation ...

developing and testing agent build in Google ADK Working with Model Context Protocol (MCP) and creating servers. Other technology we use includes Neo4j, Postgres, Kafka and libraries such as FAST API. Build and maintain CI/CD pipelines to support reliable, repeatable deployments. Collaborate with teammates on shared components ...