151 to 175 of 305 Kafka Jobs in England

feature enhancements. What you will need • Solid commercial experience in GoLang. • Experience with cloud environments • A desire to learn and continuously develop technical skills. • Kafka experience • Multi-threading experience • Great communication skills Nice to have • Understanding of financial markets • Interest in Crypto Find out more If you would like more »

been voted as one of the best tech companies to work for globally! Requirements: 5+ years experience as a Java Developer. AWS Microservices Spring Kafka Location: Andover/hybrid 2 days on site. Salary: up to £70K + 7% bonus + up to 15% pension and healthcare. If you more »

access, and data storage techniques. Excellent problem-solving skills and the ability to think algorithmically. Desirable Skills: Knowledge of big data technologies (Hadoop, Spark, Kafka) is highly desirable. Familiarity with data governance and compliance requirements. more »

through influence, coaching, mentoring, and effective communication. Ideal Candidate Profile: Proficient in Java (versions 11-17), GCP (preferred, but AWS or Azure also considered), Kafka, PostgreSQL, ElasticSearch, microservices, event-driven architecture, and Backend for Frontend (BFF) patterns. Knowledgeable in frontend technologies (ReactJS, NodeJS, TypeScript, JavaScript) and their role in more »

through influence, coaching, mentoring, and effective communication. Ideal Candidate Profile: Proficient in Java (versions 11-17), GCP (preferred, but AWS or Azure also considered), Kafka, PostgreSQL, ElasticSearch, microservices, event-driven architecture, and Backend for Frontend (BFF) patterns. Knowledgeable in frontend technologies (ReactJS, NodeJS, TypeScript, JavaScript) and their role in more »

engineering principles and best practices Energetic and goal oriented Creative and independent thinker Experience with any of these technologies is an asset: Redis, RabbitMQ, Kafka, MongoDB, Docker, WebSocket, TCP, HTTP Experience with relational databases is an asset (PostgreSQL, MySQL, MS SQL Server, Oracle) Interest in financial markets and trading more »

in developing real-time analytics solutions, preferably with experience in time-series databases. Proficiency in technologies relevant to real-time analytics, such as KX, Kafka, Spark, Flink, and real-time visualization tools. Demonstrated ability to lead and mentor software engineering teams. Excellent problem-solving skills and the ability to more »

technical leadership and organisational skills. Cloud Platform technologies covering AWS and/or Azure including Terraform, EKS/AKS, Linux, KMS, ISTIO Service Mesh, KAFKA, AWS API Gateway, MongoDB. Tooling including Wiremock, Cucumber, Harness, Jenkins, Artifactory, Atlassian Jira & Confluence, Twistlock and Dynatrace. An understanding of microservice architectures and event more »

architecture. New services are AWS-hosted, primarily developed in Java, React, Typescript, taking advantage of Kubernetes for container orchestration, Terraform for infrastructure-as-code, Kafka for event publishing and consumption, Datadog for monitoring and alerting, amongst others. We favour AWS-managed services, such as RDS and MSK over self more »

and deployments, especially in AWS, Azure, or Google Cloud Platform. Extensive knowledge of Apache Hadoop ecosystem components such as HDFS, Hive, HBase, Spark, Ranger, Kafka, and Yarn. Proficiency in Kubernetes for container orchestration. Strong understanding of security practices within big data environments. Ability to read, understand, and modify open more »

/Linux environments. Knowledge of data modeling, database design, and query optimization techniques. Experience with real-time data processing, streaming, and analytics technologies (e.g., Kafka, Apache Flink). Familiarity with financial markets, trading systems, and quantitative analysis is a plus. Excellent problem-solving, analytical, and communication skills, with the more »

strong knowledge of data tools, data management tools, and various data and information technologies. E.g. DAMA DMBOK, Microsoft SQL Server, Couchbase, Apache Druid, Spark, Kafka, Airflow, etc In-depth understanding of modern data principles, methodologies, and tools Excellent communication and collaboration skills, with the ability to build strong relationships more »

Intel Preferred Qualifications: Extensive experience with : Scala , Play framework, NoSql (Mongo DB), ScalaTest/ScalaMock, Wiremock, Jenkins, Kibana, Grafana, Git, Intellij. Familiarity with Apache Kafka and RESTful web services. Strong understanding of architectural and integration design patterns. Commitment to Agile best practices. Commitment: Permanent What We Offer: A competitive more »

systematic strategies in production, build tools to monitor strategies, build research infrastructure - with a heavy focus on data engineering. Tech stack: Python, Pandas, AWS, Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. ETL more »

Java Software Engineer (Mid level) - Core Java, Kafka, Kubernetes, Rest API's, Microservices, Complex architecture I’m looking for a strong Java developer to hire into a world leading global digital payments company. You’ll be working on a variety of super interesting technical challenges in the digital payments more »

commercial knowledge using AWS. Experience implementing best coding practices using CI/CD. Strong knowledge in coding with SQL and Python. Commercial experience using Kafka to stream real-time data. THE BENEFITS Annual 10% Bonus Cycle to work scheme Private Healthcare Generous holiday package HOW TO APPLY Please register more »

understanding of RESTful APIs. Desired Criteria: Gambling Industry Experience. Azure Cloud Infrastructure Knowledge. Containerization and Orchestration Experience. Version Control with Git. Microservices Architecture Understanding. Kafka Expertise. Qualifications: Bachelor's degree in Computer Science or related field. 8+ years of software development experience. Strong problem-solving and communication skills. Benefits more »

Java or Kotlin, with a focus on constructing contemporary microservices. A robust grasp of Test-Driven Development (TDD) methodologies. Prior hands-on experience with Kafka and streaming technologies. In addition to the above, you'll enjoy a generous training allocation, frequent company gatherings, and the flexibility to embrace remote more »

Frontend services - PHP/Laravel currently migrating to Svelte/JavaScript Cloud - Azure (any cloud experience is good!) Databases - SQL Streaming - Azure event hubs, Kafka, Kinesis (any experience nice to have) If you are looking to work in a growing business that uses world class tech in an exchange more »

be trained in and exposed to many different modern technologies (OpenShift/Kubernetes, Tekton, ArgoCD/GitOps, Elasticsearch/Kibana, Prometheus/Grafana, Istio, Kafka, PostgreSQL). It is not expected that the applicant has experience in all these technologies - but does has an appreciation for cloud native technologies more »

processes and procedures Securing applications, services, and data (e.g. authentication, authorization, encryption, and TLS) Experience with any of the following: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana, HashiCorp Vault We are looking for candidates who are passionate about technology, keen to continuously learn, and excited to contribute to a more »

high-volume throughput Capable of managing and building complex data pipelines, batch, and real-time. Fluent in Python and SQL, with strong knowledge of Kafka, Airflow, ElasticSearch, and AWS Engaged in continuous learning, keeping updated with the latest advancements in ML and MLOps You thrive in a collaborative environment more »

Engineering background (Java and/or Golang preferred) Strong experience with cloud computing ( GCP preferred) Real-Time Data Processing and Application streaming experience with Kafka Experience with Docker and container orchestration tools like Kubernetes You'll appreciate and acknowledge the impact of system design decisions on scalability, resilience, and more »

their data and processes effectively. Required Skills and Experience Technologies: Backend (Node.js, Typescript), Frontend (React.js, Typescript), Database (MySQL), and familiarity with ECS, K8s, Airflow, Kafka, Serverless, AWS. Experience: Minimum 5 years in engineering leadership roles. Expertise in handling data-heavy products and presenting actionable insights. Background in cybersecurity products more »

Python Experience of building statistical or machine learning models for sports Solid understanding of data science and statistical modelling principles Experience with Kubernetes and Kafka are desirable Knowledge of MLOps principles and related tools will be considered an asset Familiarity with version control concepts Understanding of object-oriented programming more »