1 to 25 of 524 Kafka Jobs in England

skills Good work ethic, self-starter, and results-oriented Additional Preferred Qualifications: Domain knowledge in Financial Industry and Capital Markets is a plus. Experience with Big Data technologies ( i.e. Kafka, Apache Spark, NOSQL) Knowledge of BI tools like Power BI, Microstrategy etc Exposure to Python and Scala Exposure to Salesforce ecosytem About S&P Global Ratings At S&P More ❯

Qualifications Familiarity with cloud platforms (AWS, Azure, or GCP) and serverless architecture. Knowledge of CI/CD pipelines and DevOps practices. Experience with message queues and streaming platforms (e.g., Kafka, AmazonMQ). Strong understanding of data modelling and API versioning. More ❯

working in or contributing to a Centre of Excellence team Excellent communication and collaboration skills across multidisciplinary teams Desirable Attributes Exposure to microservices architecture and event-driven systems (e.g., Kafka) Experience with design systems and component libraries (e.g., Material, Storybook) Familiarity with observability tools and performance tuning Prior consulting experience or experience in client-facing roles Engagement Model Outside More ❯

Numpy or OpenCV. Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow). Knowledge of WebGL, Canvas API, or other graphics programming technologies. Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices. Background in computer graphics, media processing, or VFX pipeline development. Experience with performance profiling, system monitoring, and observability tools. Understanding of network protocols More ❯

skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth More ❯

skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth More ❯

technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed More ❯

technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed More ❯

with Data visualisation techniques and tools Familiarity with structured and unstructured storage of Data Use of Code repositories, familiarity with branching strategies, pull requests and merge processes. MongoDB Apache Kafka Infrastructure as Code (e.g Terraform, Ansible) Responsibilities Design and build software using industry best practice Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with More ❯

Hands-on knowledge in designing, writing, and reviewing high performant reactive clean code • Solid experience in building cloud native, event driven, scalable, distributed systems or services using .net, C#, Kafka, ELK Stack & Kubernetes Full stack experience with Front end development experience using HTML, VUE.js • Strong hands-on experience in performant and scalable database design in SQL, NOSQL and GRAPH More ❯

Hands-on knowledge in designing, writing, and reviewing high performant reactive clean code • Solid experience in building cloud native, event driven, scalable, distributed systems or services using .net, C#, Kafka, ELK Stack & Kubernetes Full stack experience with Front end development experience using HTML, VUE.js • Strong hands-on experience in performant and scalable database design in SQL, NOSQL and GRAPH More ❯

building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high More ❯

environment Experience delivering change through Build, Dev and QA to Production, using automation Technical Skills Java Development including Domain Driven Design, Test Driven Development and tech training presentation skills. Kafka, Mongo, Elastic Search and Redis Architecture and Design Skills Distributed Systems and architectural experience of microservices, event driven architectures and serverless. AWS Cloud including step functions, lambda and general More ❯

priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯

to non-technical stakeholders. Team Player: Ability to work effectively in a collaborative team environment, as well as independently. Preferred Qualifications: Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration More ❯

priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯

or contributing to a Centre of Excellence team Excellent communication skills and ability to collaborate across multidisciplinary teams Desirable Attributes Exposure to event-driven architectures and messaging systems (e.g., Kafka) Experience with Infrastructure as Code (e.g., Terraform, Ansible) Familiarity with observability tools and performance tuning Ability to mentor junior engineers and contribute to backend design leadership Prior consulting experience More ❯

to the likes of CI/CD, Kubernetes & Docker. Experience with cloud platforms ideally AWS. Experience of multiple development technologies, ideally including Java, JavaScript, Node.js, React, Spring/Springboot, Kafka, AWS, Python, Jenkins, GitLab, microservices, secure RESTful API's, JSON, API Gateways, event-driven architectures, messaging. Technical knowledge of Oracle Retail Cloud Applications such as MFCS, OIC, Smart Item More ❯

GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skillsable to explain complex concepts to both technical and non More ❯

Automation Language: Python Observability & Monitoring: Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks More ❯

years' experience working as a Software Engineer on large software applications Proficient in many of the following technologies - Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the More ❯

product and engineering team, delivering cutting edge software solutions. Our Technology Our current technology stack is outlined below: Go, Python, Java React Native, Android Apps (Kotlin) AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux More ❯

journey. What youll need Technical expertise in Java, with experience from project inception to production, valuing well-tested software and feedback. Experience with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka, and Postgres. Understanding of architecture and cloud-native principles. Knowledge of algorithms and data structures. Familiarity with test-driven development. Experience with container environments like Docker, Kubernetes, Helm, preferably More ❯

Git-based workflows Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with More ❯