226 to 250 of 532 Kafka Jobs in the UK

other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with Web Frameworks such as Django, Flask or FastAPI Preferred: Familiarity with event streaming platforms such as Apache Kafka Preferred: Familiarity with data pipeline platforms such as Apache Airflow Preferred: Familiarity with Java Preferred: Experience in one or more relevant financial areas (market data, order management, algorithmic trading 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 ❯

Role: Java Developer Duration: Till end of this year (Extendable) Location: Birmingham, UK (Onsite) Description: 4+ years of Java Development experience- Java 11+ Spring Experience working with microservices architecture Kafka for messaging - to some extent or equivalent MongoDB - to some extent or equivalent Strong understanding of SDLC Nice to haves: Gitlab - experience with others is generally fine, they can More ❯

own solution architecture delivery. Ensure robust governance, security, and performance standards. Requirements: Recent experience as a Lead Data Solution Architect or equivalent. Skilled in streaming/event-driven architectures (Kafka, Confluent). Deep knowledge of Databricks, Unity Catalog, and Snowflake. Understanding of Data Mesh/Fabric and product-led approaches. Familiarity with cloud platforms (AWS, Azure, GCP). Leadership More ❯

date - 7th August Location TBD (Newcastle, Leeds or Manchester) - weekly travel Inside IR35 Front end: Must be WCAG2.2 AAA compliant (accessible). Backend: Mix of microservices, lambda functions, and (Kafka) events. Some ETL and interaction with RPA. Likely to use microsites and/or UI fragments. Responsibilities: Set and enforce code quality standards (e.g. SonarQube unit test coverage%) Elaborate More ❯

Troubleshoot and proactively resolve data pipeline issues. Partner with data architects, analysts, and business teams to deliver end-to-end data solutions. Stay current with emerging data technologies (e.g., Kafka/Event Hubs for streaming, Knowledge Graphs). Promote best practices in data engineering across the team. Skills & Experience Hands-on experience with Azure Databricks, Delta Lake, Data Factory More ❯

security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to explain complex data strategies to non-technical stakeholders. Outstanding problem-solving abilities and organizational skills. Certifications (Preferred/Desirable): Azure Solutions Architect More ❯

Science, Software Engineering or equivalent practical experience Proficiency in C#, .NET 8/9 and object-oriented design principles Experience developing microservices and RESTful APIs with tools like Redis, Kafka, and MySQL Familiarity with Docker and Kubernetes for containerisation and orchestration Experience working with Git, versioning practices, and CI/CD workflows Strong unit testing and mocking skills for More ❯

/planning with a colleague and raise an RFC Our Tech Stack Our services are written with C# on .NET 8 We use a fair bit of SQL Server, Kafka and RabbitMQ Azure DevOps. We are big fans of Azure Pipelines! Some of our services are migrating away from TeamCity and Octopus Deploy Our observability stack is Splunk, Grafana More ❯

get more value from model outputs as needs evolve. Requirements Proven experience designing and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and Kafka Demonstrated ability to scale production systems in cloud-native environments, familiarity with Kubernetes, NGINX, and container orchestration Experience building and maintaining real-time applications, including working with WebSockets and More ❯

techniques and performance optimisation. • Familiarity with data governance, security, and privacy best practices. • Experience with network-centric datasets (fiber, GPON, ethernet, Wi-Fi telemetry). • Exposure to streaming technologies (Kafka, Event Hubs) and real-time analytics. • Knowledge of Machine Learning Ops (MLflow, Databricks). Deadline: ASAP Contract Type: Full Time Location: London Interested? The full job specification can be More ❯

partnership to identify your strengths and provide you with the training, mentoring and coaching necessary to fill any gaps. Experience with some of our core technologies: Node.js, React, Elasticsearch, Kafka, MongoDB, Redis. You'll be proficient in at least one programming language and be accustomed to evaluating new technologies. Experience building and maintaining production software. It's great if More ❯

Equivalent experience using Java would also be considered Proficient in multithreading, concurrency and performance tuning Solid understanding of inter-application communication using REST, WebSocket or middleware like Solace/Kafka/Tibco Proficiency in CI/CD, application resiliency, testing, profiling, and telemetry Awareness of industry trends and leveraging new technologies as appropriate Experience working in Linux environments Nice More ❯

in Go Experience keeping documentation up to date with CI/CD pipelines We mostly use GitHub Actions, but any experience with a comparable platforms is great Experience with Kafka and its various extensions is advantageous Perks and Benefits Stock options. 25 days PTO + public holidays. Top-tier private health insurance package. Employee referral scheme. Company-wide events More ❯

cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a fast-paced environment. Ability to work independently with agreed remit and autonomy. A strong More ❯

cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and outlook, determined, enthusiastic, and resilient. Quick learner within a fast-paced environment. Ability to work independently with agreed remit and autonomy. A strong More ❯

modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi More ❯

modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi More ❯

end-to-end, deploy to production frequently, and see the real-world impact of what they build. You'll also get to work with a modern tech stack: Kotlin, Kafka, Kubernetes, Docker, AWS, Aurora Postgres and more. We work hybrid, with at least 2 days a week together in our Manchester office. A day in the life: Leading a More ❯

specialist, design and architecture experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of More ❯

While not mandatory, experience with these technologies is a significant advantage. Event-Driven Architectures , FinOps and Cost Optimization (Optional): Contribute to the development of event-driven data pipelines using Kafka and schema registries, enabling real-time data insights and responsiveness. Apply FinOps principles and multi-cloud cost optimization techniques to ensure efficient resource utilization and cost control. What You More ❯

3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide More ❯

and technologies: React and Typescript for our frontend Jest for tests SwiftUI for our Driver iOS App Python for our backend code Postgres for data storage Redis for caching Kafka for stream processing AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run our services Flutter for our on-board server running Android, which handles concession More ❯

including schema design, indexing, and caching strategies for low-latency services. Experience with market data infrastructure and back testing frameworks : hands on building and operating real time data pipelines (Kafka/Redpanda, ClickHouse/InfluxDB) and authoring production grade back testing and simulation systems in Python or Go. Ideal Candidate Profile A creative problem-solver who is eager to More ❯

chargers, calculating ETAs, monitoring traffic and keeping passengers informed. We rely on the following tools and technologies: Python for our backend code Postgres for data storage Redis for caching Kafka for stream processing React for our frontend Clickhouse for analytics SwiftUI for our Driver iOS App AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run More ❯