476 to 500 of 613 Kafka Jobs in the UK

within DevEx/Developer Enablement/Developer Experience. A background in software engineering, with exposure to cloud-native tooling, microservices, and event-driven architectures. Familiarity with tools like GitLab, Kafka, and monitoring solutions like Grafana (or similar). A strong understanding of building internal platforms that improve developer workflows, CI/CD processes, and observability. A thoughtful, empathetic leadership More ❯

within DevEx/Developer Enablement/Developer Experience. A background in software engineering, with exposure to cloud-native tooling, microservices, and event-driven architectures. Familiarity with tools like GitLab, Kafka, and monitoring solutions like Grafana (or similar). A strong understanding of building internal platforms that improve developer workflows, CI/CD processes, and observability. A thoughtful, empathetic leadership More ❯

within DevEx/Developer Enablement/Developer Experience. A background in software engineering, with exposure to cloud-native tooling, microservices, and event-driven architectures. Familiarity with tools like GitLab, Kafka, and monitoring solutions like Grafana (or similar). A strong understanding of building internal platforms that improve developer workflows, CI/CD processes, and observability. A thoughtful, empathetic leadership More ❯

widely in our sector, we strongly encourage exploring new technologies and techniques. Some of the following experience is therefore desirable: • Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters). • Experience using next generation machine learning techniques and tools, including Deep Neural Networks and More ❯

transformative programmes, ideally in a greenfield environment. Expertise in trading systems, particularly ETRM platforms such as Endur Strong knowledge of general cloud architecture (Azure, AWS) and messaging patterns (RabbitMQ, Kafka, Service Bus). Familiarity with API connectivity stacks, data warehousing, and reporting frameworks. Experience in agile development methodologies and modern technology stacks. Excellent stakeholder management skills, with the ability More ❯

data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud … for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with … and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory More ❯

Data Architecture: Build and maintain big data architectures and data pipelines to efficiently process large volumes of geospatial and sensor data. Leverage technologies such as Hadoop, Apache Spark, and Kafka to ensure scalability, fault tolerance, and speed. Geospatial Data Integration: Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remote sensing, IoT sensors, and … applications. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and … field. Experience with data visualization tools and libraries (e.g., Tableau, D3.js, Mapbox, Leaflet) for displaying geospatial insights and analytics. Familiarity with real-time stream processing frameworks (e.g., Apache Flink, Kafka Streams). Experience with geospatial data processing libraries (e.g., GDAL, Shapely, Fiona). Background in defense, national security, or environmental monitoring applications is a plus. Compensation and Benefits: Competitive More ❯

in ultra low latency/high availability platforms Proficiency in .net core Proven ability to develop clean, testable code Experience with Unix & Azure cloud hosting, postGre & oracle databases, gRPC, kafka, FIX, SBE middlewares, elk stack Languages & Paradigms: C# .NET 9, strong multithreading, async & lock free patterns Low Latency Tooling: Linux tuning, Solarflare/Mellanox Onload, TCP/UDP multicast … Messaging & Data: FIX, binary encoded protocols (SBE, FAST), RTDS, gRPC, KAFKA, https api, udp Pipeline: github, Jenkins, TeamCity, Sonar, XLDeploy, Docker, Kubernetes Infra as code: Terraform, ansible, azure cloud Datastores: PostGre, OCP Observability: ELK, Grafana, OpenTelemetry Batch: airflow (python) Security & Compliance: TLS, OAuth2/OIDC, data masking, GDPR/MiFID controls Project & Process: Scrum/Kanban, backlog grooming, metrics More ❯

and APIs using Java , Spring Boot , and microservices architecture . Build dynamic, responsive UIs using Angular , React , or Vue.js . Integrate Camunda workflows with REST APIs, databases, messaging systems (Kafka/RabbitMQ), and user interfaces. Configure and manage Camunda engine, external task workers, and job execution. Write unit and integration tests for both frontend and backend components. Collaborate with … with Camunda BPM (v7 or v8) - BPMN, DMN, external tasks, process orchestration Experience in Angular , React , or Vue.js Other Technologies: Integration experience with Databases (PostgreSQL, MySQL, MongoDB) Familiarity with Kafka , RabbitMQ , or other messaging tools Experience with Git , Maven/Gradle , Jenkins/GitLab CI Experience with Camunda 8/Zeebe , Operate, Tasklist Exposure to Docker , Kubernetes , Helm Knowledge More ❯

and develop modern cloud-based services using Java and NodeJS. Build and maintain microservices, including front-end components and APIs, in a scalable architecture. Implement event-driven solutions using Kafka and other messaging technologies. Develop and deploy applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to manage and optimize data storage. Utilize containerization technologies … a development team Extensive experience developing modern cloud services using Java and NodeJS Extensive experience of building services in a microservice architecture (front-end and APIs) Experience of using Kafka and event-based architectures Experience of cloud hosting, specifically AWS Experience in noSQL DBs (specifically MongoDB) Experience in SQL DBs Experience of using containerisation (specifically Docker) Experience in writing More ❯

deep knowledge of security architecture on cloud platforms, you will provide technical leadership and strategic direction in building scalable, secure, and resilient cloud-native systems based on AWS, Kubernetes, Kafka, microservices, Java, and event-driven design. Key Responsibilities Cloud Architecture Design: Lead the design of cloud-based systems and solutions, utilising AWS and modern architectural patterns such as microservices … auditing). Containerisation & Orchestration: Architect and oversee containerised environments using Kubernetes, ensuring high availability, scalability, and fault tolerance for critical applications. Event-Driven Systems: Architect event-driven systems using Kafka, designing and managing messaging frameworks to handle real-time data processing across distributed microservices. Microservices Architecture: Design and oversee the development of microservices-based systems, establishing best practices for More ❯

renewable) Work Schedule: Full-time: Monday to Friday (Min. 3 days at the office is mandatory) Recruiter: Mariana Cortez Key Words: Java, JavaScript, Azure Cloud, Spring, AKS (Kubernetes), Docker, Kafka, Software, IT. Our Company Airswift takes pride in being an international workforce solutions provider. With 9,000 contractors operating in over 70 countries, Airswift's geographical reach, experience and … and internal communities. Experience with the following technologies: Java and Spring (Container, MVC, JDBC, Boot). Cloud technologies (Azure, AKS, Functions). Container technologies (Docker). Data streaming architecture (Kafka) or messaging (ASB, Tibco). Relational databases (Oracle, Postgres). Client-side web technologies (JavaScript, React JS, JSON, HTML, CSS). Background: Bachelor or equivalent focusing on Computer Science More ❯

millions of data points per day and create a highly available data processing and REST services to distribute data to different consumers across PWM. Technologies used include: Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy - a data management and data governance platform Programming Languages: Java, Scala, Scripting Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ/ASE Micro Service Technologies … experimenting new tech stacks SKILLS AND EXPERIENCE WE ARE LOOKING FOR Computer Science, Mathematics, Engineering or other related degree at bachelors level Java, Scala, Scripting, REST, Spring Boot, Jersey Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE 3+ years of hands-on experience on relevant technologies ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital More ❯

Python Technical Architect 6 Month contract initially Based: Hybrid - Bradford (Max 3 days p/w onsite) Rate: Market rates (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all More ❯

Job Description: We are seeking a Platform Engineer with over 10 years of experience delivering large-scale applications, especially within Agile financial environments . If you're passionate about building secure, scalable, and high-performing solutions and have strong experience More ❯

Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Software Engineer at JPMorgan Chase within the Strategic Growth Office and a part of More ❯

mission to empower safe and sustainable transport around the world through data insights. You will be the go-to person for our cloud data pipeline & underlying infrastructure, especially Apache Kafka and our PostgreSQL database . You will also work with tech like Kubernetes, Vault, go microservices and other cloud services, as well as on-premise infrastructure. Your technical expertise … on problems, even when you are not familiar with the problem space, and you know when and how to ask for help. Requirements for the role: Expertise in Apache Kafka (ideally Kafka Strimzi), including broker management, scaling, upgrades, and integration with high-throughput data pipelines. Experience managing PostgreSQL databases, including load analysis, query optimisation, and role management. Experience More ❯

system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error More ❯

system with natural language querying Document validation integration POC with working interface Essential skills Cloud Data Engineering: AWS (Aurora, DMS, Lambda, Kinesis), Azure Data Factory Real-time Streaming: Apache Kafka, AWS Kinesis, change data capture (CDC) Vector Databases: Pinecone, Weaviate, or Chroma etc. with LangChain integration API Development: RESTful services, third-party integrations Production Systems: Enterprise-grade monitoring, error More ❯

troubleshooting, tuning) of web architecture and related applications such as the following: Apache, Nginx, Python, MySQL, Postgres, MongoDB, Postfix, CDN integrations. Experience managing data warehouse platforms & tooling: ex. Hadoop, Kafka, Cassandra. Advanced knowledge and experience creating, maintaining and debugging shell scripts. The ideal candidate will be comfortable in "non-siloed" environments and have an appetite to research, test, and More ❯

of open-source technology and multi-cloud solutions. Our vision is to become the trusted Data & AI Platform for everyone, leveraging the most popular open-source technologies like Apache Kafka, Aiven for PostgreSQL, Aiven for Clickhouse, and Aiven for OpenSearch. to help companies accelerate time-to-market, drive efficiency, and build innovative solutions across any cloud. Who we are More ❯

of open-source technology and multi-cloud solutions. Our vision is to become the trusted Data & AI Platform for everyone, leveraging the most popular open-source technologies like Apache Kafka, Aiven for PostgreSQL, Aiven for Clickhouse, and Aiven for OpenSearch. to help companies accelerate time-to-market, drive efficiency, and build innovative solutions across any cloud. Who we are More ❯

teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally in distributed or secure systems Solid experience with Kubernetes, orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs More ❯

teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally in distributed or secure systems Solid experience with Kubernetes, orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs More ❯

Mondays, Wednesdays, and Thursdays. About the role As a Product Manager at Conduktor, you will be instrumental in solving customer problems for organisations working in the data streaming space (Kafka), driving growth in adoption of our Enterprise platform. You will partner with Product & Engineering leadership to extend our platform capabilities with a focus on data security and observability. This More ❯