151 to 175 of 533 Kafka Jobs in the UK

this from the ground up is rare. I'm hiring up to 15 Java Engineers, from mid-level to Lead Engineering roles. Tech stack includes Java, Spring Boot, Kotlin, Kafka, AWS, MongoDB and modern data tools.Salary upto £140k + bonus and equity. Three stage interview process but they can turn around in less than 4 days! We are particularly More ❯

working in Agile teams and communicating clearly across engineering, product, and security stakeholders Passionate about improving developer experience and contributing to team knowledge-sharing Nice to Have: Experience with Kafka, gRPC, GraphQL, or policy-as-code tools like Sentinel or OPA Contributions to internal or open-source platforms Familiarity with building cost-optimized and compliant infrastructure in regulated environments More ❯

for multiple brands across the private aviation industry. Software Engineer Responsibilities Design & build scalable .NET 8+ microservices and RESTful APIs Own database schemas in MS SQL Server and integrate Kafka event-driven patterns Collaborate with frontend, mobile, QA, Ops & Product teams Innovate with AI-powered solutions used within your own processes and for the business Learn and mentor code More ❯

Proven track record delivering applications from design to production Desirable Experience: Background in investment banking, particularly Risk or Pricing domains Cloud-native development (EKS, Docker, GRPC, Redis, Prometheus, etc.) Kafka, event-driven systems, and stateful workflow orchestration Familiarity with financial instruments and risk sensitivities This is a fantastic opportunity to work on high-impact systems in a top-tier More ❯

Proven track record delivering applications from design to production Desirable Experience: Background in investment banking, particularly Risk or Pricing domains Cloud-native development (EKS, Docker, GRPC, Redis, Prometheus, etc.) Kafka, event-driven systems, and stateful workflow orchestration Familiarity with financial instruments and risk sensitivities This is a fantastic opportunity to work on high-impact systems in a top-tier More ❯

software engineering background with advanced Python and PySpark coding skills You have experience in batch, distributed data processing and near real-time streaming data pipelines with technologies such as Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You More ❯

processes. Hands-on experience with dynamic scalability; cloud deployment (EKS/Nomad), container/docker deployment, GRPC services, Cloud based services (Prometheus, Elastic Search, databases, Redis, ...) Experience with Kafka or event processing thru message bus Experience with Workflow/Scheduling/State management If you believe you have the experience required, please apply with your CV now for More ❯

processes. Hands-on experience with dynamic scalability; cloud deployment (EKS/Nomad), container/docker deployment, GRPC services, Cloud based services (Prometheus, Elastic Search, databases, Redis, ...) Experience with Kafka or event processing thru message bus Experience with Workflow/Scheduling/State management If you believe you have the experience required, please apply with your CV now for More ❯

data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases Experience working in a Unix environment and git Familiarity with Kafka, Docker, AirFlow, Luigi Strong communication skills in verbal and written English. Domain knowledge in futures & swaps is a plus Highly competitive compensation and bonus structure Meritocratic environment with ample More ❯

frameworks. Experience with cloud platforms (ideally Azure) and cloud-native ETL/integration services. Familiarity with CI/CD pipelines and DevOps practices. Experience with message queuing systems (e.g., Kafka, RabbitMQ, Azure Service Bus). Knowledge of other programming languages or data processing technologies. Competitive Salary (£75 - 90,000) Company bonus scheme Comprehensive healthcare cash plan A generous More ❯

paced environment, handling multiple stakeholders effectively. Excellent communication skills with the ability to translate technical findings into business insights Nice-to-Have Qualifications: Experience with streaming technologies such as Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine More ❯

OS: Unix - Linux, AIX Database: IBM DB2, Oracle PL/SQL, PostgreSQL IBM Integration Bus (IIB) also known as IBM App Connect Enterprise (ACE), Webservices (REST/SOAP), SpringBoot, Kafka, WebSphere MQ, IBM WebSphere Application Server (WAS). Working experience on Docker and Kubernetes. Code Management: GitHub, SonarQube, Nexus, Jenkins. Tools: TWS, Tivoli, Splunk, Dynatrace, ServiceNow. It would be More ❯

windows, linux, SQL, Redis, WebApps, etc) Experience with containerization Preferred skills: Kubernetes or other orchestration tools NewRelic scripted monitors Experience with security tools (including CheckPoint) and best practices Hadoop, Kafka, Presto (or similar BI/Big Data tech) Sphera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This More ❯

data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on More ❯

as code (Terraform, CloudFormation) Comfortable scripting in Bash or Python Experience with AWS or similar public cloud platforms Strong containerisation knowledge (e.g. Docker, Kubernetes) Nice to have: Experience with Kafka in production (including multi-datacentre setup) Familiarity with service discovery (e.g. Consul, Istio, Linkerd) Knowledge of secrets management tools (Vault, AWS Secrets Manager) Good grasp of networking fundamentals (OSI More ❯

or requirements Technical Experience: Java & Test-Driven Development are essential. Experience in any number of additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) Desirable Criteria: Background of delivering software More ❯

ETL) and streaming Gathering testing requirements - developing Feature files and acceptance criteria with business stakeholders and turning them into scripts Extensive back-end testing experience - Linux An understanding of Kafka/Docker(from a QA perspective) Experience working with Jira, Maven Experience with BDD and TDD Automation testing using any of custom test suites - Fitnesse, Selenium and Soap UI More ❯

Actions, or similar platforms. Operating Systems : Proficiency in Linux environments, including scripting in Bash and/or Python for automation and tooling. Open Source Technologies : Familiarity with tools like Kafka , Elasticsearch , Grafana , or Prometheus for logging, monitoring, and streaming use cases. Version Control : Proficient in using Git for source code management, including branching strategies and code reviews. Desirable Skills More ❯

demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs and client libraries. Real-world More ❯

Windows based device drivers Some Golang services, potentially more as we scale Typescript with React SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure More ❯

or similar functional languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases andBuild and maintain SLAs More ❯

in data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one More ❯

guide the team through technical challenges and ensure successful delivery of high-quality solutions. Manage cross-platform application development leveraging container orchestration (e.g. AKS/Kubernetes), messaging backplanes (e.g. Kafka, Zookeeper), and resilient cloud-native design patterns. Implement standards and best practices, mentor junior developers, and execute development activities in line with the overall delivery plan. Collaborate with cross More ❯

guide the team through technical challenges and ensure successful delivery of high-quality solutions. Manage cross-platform application development leveraging container orchestration (e.g. AKS/Kubernetes), messaging backplanes (e.g. Kafka, Zookeeper), and resilient cloud-native design patterns. Implement standards and best practices, mentor junior developers, and execute development activities in line with the overall delivery plan. Collaborate with cross More ❯

deliver on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks Like in Your First Year Technical Impact: Successfully More ❯