26 to 50 of 84 Kafka Jobs in the South East

across research and technology teams. Exposure to low-latency or real-time systems. Experience with cloud infrastructure (AWS, GCP, or Azure). Familiarity with data engineering tools such as Kafka, Airflow, Spark, or Dask. Knowledge of equities, futures, or FX markets. Company Rapidly growing hedge fund offices globally including London Salary & Benefits The salary range/rates of pay More ❯

Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake More ❯

team members and partners are in various time zones and locations Ability to take initiative, identify opportunities and implement change Expertise in Java Message Service (JMS) Strong background in Kafka and Confluent Platform Proficient in MongoDB for scalable data solutions Skilled in secure DevOps practices and cloud deployment automation Advanced capabilities in test automation frameworks and tools Posting End More ❯

T his JAVA Engineer role is the requirement for our client in the financial industry, where you'll have access to cutting edge technologies like Vert.x, Java, Microservices and Kafka etc., as applicable to high performing applications within the Payment Domain. Your responsibilities: (Up to 10, Avoid repetition) Code Analysis, Design Application Development and Integration Application Testing, Debugging and More ❯

T his JAVA Engineer role is the requirement for our client in the financial industry, where you'll have access to cutting edge technologies like Vert.x, Java, Microservices and Kafka etc., as applicable to high performing applications within the Payment Domain. Your responsibilities: Design, build, and maintain: Create, deploy, and manage IT infrastructure, including hardware and software. System administration More ❯

strong desire to learn, it's one of our most important technologies Expertise in automated testing and a TDD approach Strong knowledge of common design patterns; Some familiarity with Kafka and Debezium and event handling patterns Experience deploying and operating software in a cloud environment including Kubernetes You'll thrive here if... You're fuelled by purpose, not just More ❯

of Linux operating systems and scripting languages (e.g. Python) Knowledge of infrastructure as code and container technologies (e.g. Puppet, Docker) Knowledge of COTS integration technologies (e.g. Apache Camel, Apache Kafka) Experience of Atlassian tools (e.g. Jira, Confluence) Experience with public cloud platforms (e.g. AWS) Experience of the complete system life cycle from problem definition through to deployment Understanding of More ❯

job as needed Ability to creatively solve problems and find solutions to challenges Small company can-do mentality Ability to work calmly under pressure Desired Skills: Docker Linux Microservices Kafka Azure or other Cloud applications Machine Learning More ❯

Kubernetes * Working with AWS (EKS, EC2, S3) and Docker * Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/NATS, Robot Framework, Linux networking. You'd be based out of their Romsey site 3 days per week (2 remote). Due to the nature of the work More ❯

Kubernetes * Working with AWS (EKS, EC2, S3) and Docker * Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/NATS, Robot Framework, Linux networking. You'd be based out of their Romsey site 3 days per week (2 remote). Due to the nature of the work More ❯

data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working in Agile/Scrum environments. To apply for this role More ❯

enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. WFH Policy: You More ❯

to engage users, challenge requirements, and design smarter solutions. A pragmatic, delivery-focused mindset with an interest in clean architecture and software craftsmanship. (Bonus if you’ve worked with Kafka, Azure, or Docker/Kubernetes, or if you’ve built systems in R&D, motorsport, or real-time data environments). Click the ‘Apply’ button to find out more. More ❯

with TypeScript, NestJS, Sequelize ORM, GraphQL, REST APIs Frontend expertise with ReactJS, NextJS, Typescript, Chakra UI Experience with MySQL and NoSQL databases Familiarity with messaging/event-driven systems (Kafka) Ability to work closely with designers (Figma) and translate complex business logic into intuitive UI/UX Problem-solver with strong debugging, troubleshooting, and optimisation skills Thrives in high More ❯

ML and Data pipelines combine open source technologies with custom Woven data processing, all deployed to AWS.". Pipeline code is written in Python & Java.. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are More ❯

Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.) Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs. Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.) Experience managing data More ❯

platforms (Azure, AWS, GCP) Hands-on experience with SQL, Data Pipelines, Data Orchestration and Integration Tools Experience in data platforms on premises/cloud using technologies such as: Hadoop, Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery More ❯

in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau More ❯

record of building performant, maintainable, and testable systems Solid background in microservices architecture Proficiency with Postgres & MongoDB (relational + non-relational) Experience with event-driven architectures and asynchronous workflows (Kafka, Airflow, etc.) Solid coding practices (clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if you’ve More ❯

monitoring, curation, release management, data quality monitoring, and user access control. Build and support components to manage ingest from and monitor distributed next-generation sequencing devices, including device telemetry (Kafka, MQTT streaming from Oxford Nanopore NGS devices). Design, develop, and maintain platform tools to help bioinformaticians and science teams discover, understand, and access data (e.g., pathogen data catalogue … and associated APIs meet the needs of platform tools. Work with product managers to capture requirements, wireframe solutions, and design user experiences. Work with big data technologies such as Kafka, Iceberg, and Parquet, and managed database technologies including PostgreSQL and Oracle vector databases. Ensure applications are secure. Operate, monitor, and maintain associated Oracle Cloud infrastructure to ensure platform tools … services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures using both containerized and serverless approaches (e.g., Oracle Functions or AWS Lambda). Familiarity with version management and best practices (Git). Experience More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

of energy systems and operations Have practical experience with AWS services (SageMaker, S3, EC2, Lambda, etc.) Have experience with infrastructure as code tools (Terraform, CloudFormation) Have experience with Apache Kafka and real-time streaming frameworks Are familiar with observability principles such as logging, monitoring, and distributed tracing for ML systems Have experience with transformer architectures and generative AI applications More ❯

scale API programmes Expertise in REST, OAuth2, OpenAPI, and API security Familiarity with banking processes and Open Banking standards Cloud (Azure/GCP), CI/CD, and integration tools (Kafka, IBM MQ) Strong stakeholder management and strategic thinking If the role is of interest please apply with your updated CV More ❯

Tech Stack in play but not limited to and the client are open to new tech: CI/CD pipelines, Jira, Git, Confluence, Jenkins, REST API testing, SNS, SQS, Kafka, AWS MSK, Code Rabbit, Cursor, Claude Code, Perl, JavaScript, C#. A great opportunity taking full ownership of the automation strategy. Designing, building, and scaling frameworks that power high-volume More ❯

grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node js, Typescript Frontend: React, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or More ❯