76 to 100 of 182 Kafka Jobs in London

years' IT Architecture experience working in a software development, technical project management, digital delivery, or technology consulting environment • Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile delivery-based environment more »

Skills/Requirements: Experience with Python Unix Shell Scripting Job scheduling using Autosys or similar Azure SQL/NoSQL experience Messaging platforms experience, ideally Kafka Containerisation experience, ideally Kubernetes Contract is running for 12 months initially, paying up to £545p/day (Inside IR35 so engaged via Umbrella) and more »

role Passion for data analytics Strong understanding of order book mechanics Java SQL REST and WS APIs experience Has built event driven apps using Kafka AWS or Google Cloud Linux, Docker a plus Experience in financial services *Rust experience is a nice to have* If you or anyone else more »

programming Azure or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots more »

all other kinds of interesting data/AI engineering products. Tech : AWS/Docker/Kubernetes/Terraform/Linux infrastructure/Python/Kafka You will work within their Data Engineering teams to design, build and manage secure integration and deployment pipelines ensuring the whole process is automated. more »

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 »

or AWS) Design and be comfortable building low latency systems Testing distributed systems performances Understanding of containerisation such as Docker Messaging technologies such as Kafka, ActiveMQ, or RabbitMQ Trading, FinTech, Banking experience (bonus) Designing customer-facing APIs Execution, order, or portfolio management systems Create monitoring dashboards using technologies such more »

Experience level: All levels of experience will be considered Tech Stack: Proficient in core Java, frontend technologies (React/Next.js, JavaScript, TypeScript, HTML, CSS), Kafka, PostgreSQL Experience in finance, banking or payments will be a plus; Start-up experience will be a plus Responsibilities More than five years of 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 »

SQL and Docker will be required as a minimum. Everything sits on AWS and it would also be nice to have any experience with Kafka and Kubernetes. You’re going to be joining an investment firm that’s been built from the ground up using technology and technology will more »

performance applications. - Strong understanding of algorithmic trading and financial markets. - Experience with multi-threading, concurrency, and low-latency systems. - Familiarity with messaging systems (e.g., Kafka, RabbitMQ). - Experience with databases (SQL and NoSQL) and data structures. - Knowledge of FIX protocol and other trading communication protocols. How to Apply: If 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 »

platforms like AWS, GCP, or Azure Comfortable working with message queues and/or event-driven architectures (e.g. SQS/SNS, Pub/Sub, Kafka, RabbitMQ) Experience with Docker Familiarity with Redis Excellent written communications skills (necessary for remote work) Desirable: Experience with Elasticsearch and search in general Knowledge more »

driven architecture ● Cloud and security Technologies eg AWS or Azure Web API ● Docker and Kubernetes ● Serverless technologies such as AWS Lambda ● Data, Messaging eg Kafka ● .Net Core & C# ● SOLID Principles and Design Patterns ● Architecture diagramming and documentation ● Azure DevOps, Git ● Proficient working with relational and non-relational data sources more »

frontend. For testing, we use Jest, React Testing Library and Cypress. On the backend you’ll find NodeJS microservices written in TypeScript. We use Kafka to enable our event-driven-architecture, and MongoDB, PostgreSQL, S3 and Elasticsearch for data storage and retrieval. Elephant’s platform is multi-cloud: we more »

Stack - Java, Springboot, Restfull API development Data Engineering & Analysis skills set to design and develop pipelines to ingest data into Elastic Cloud & Domain aware Kafka aware Nice to have skills: Python Experience in Netbox, Elastic, CICD Minimum years of experience: 8 years Detailed Job Description: Java Full stack with 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 »

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 »

You’ll Bring: Managing large software projects and systems across different platforms. C#, Java, PHP, Python, Node.js/Typescript Familiarity with AWS Cloud, Kubernetes, Kafka, and data meshes. (Bonus Points: Experience with affiliate publishing platforms and machine learning.) Interview Process: Initial Discussion Technical Presentation Peer Interview Final Interview If more »

particularly .NET 5+. Mathematics skills such as dealing with matrices, probabilities, and statistics. Familiarity with SQL and experience working with relational databases. Experience using Kafka or equivalent distributed event store and stream-processing platform. Experience working with Redis or equivalent in-memory storage. Experience working with AWS S3, Athena more »

design-focused and test-driven approaches Exposure to Front-end development exposure, ideally with Angular and TypeScript Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Great analytical, problem-solving and communication skills Some more »