1 to 25 of 44 Kafka Jobs in Basingstoke

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

of cloud services such as AWS Proficiency in Docker and Kubernetes for container orchestration Strong knowledge of Git and version control practices Experience with Kafka, RabbitMQ, or similar messaging technologies Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks Knowledge of DevOps principles and practices Strong analytical and More ❯

have experience with the following technologies: Experience with Spark (AWS Glue) Snowflake Native Applications or AWS Marketplace solutions. Experience using Trusted Execution Environments (TEEs) Kafka Automated cloud infrastructure provisioning Basic understanding of encryption protocols We are committed to using the best technology for the task at hand. Other technologies More ❯

Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience with RPC, REST, gRPC Experience/knowledge of Azure and Azure Resources or other SAAS/PAAS platforms More ❯

Design, Application Security Testing. Cloud & Infrastructure: AWS, Azure, VMWare usage and general knowledge. Data & Integration: Data Pipeline Orchestration (Airflow, Spark, NiFi etc.), Message Brokers (Kafka), Object Storage (S3, MinIO), API Management, Python Scripting. Automation & Low-Code: Low-code Platforms (Power Platform, Appian, UiPath etc.), RPA solutions, Business Process Analysis. More ❯

handling of sensitive data (e.g. GDPR) Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing More ❯

resiliency, and security practices Solid understanding of key technologies such as cloud, AI/ML, or mobile platforms Backend expertise in Java, Spring Framework, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra) Preferred Qualifications Exposure to cloud technologies and services Experience designing and developing microservices-based architecture Commitment to continuous More ❯

Backed Technologies: Highly experienced in developing Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum More ❯

Focused: Data Pipeline Orchestration and ELT tooling such as Apache Airflow, Apache NiFi, Airbyte, and Singer Message Brokers and streaming data processors like Apache Kafka Object Storage solutions such as S3, MinIO, LakeFS CI/CD Pipeline and Integration, ideally with Azure DevOps Python scripting API Management Solutions Automation More ❯

a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning More ❯

expertise in Java, with a strong preference for Quarkus or GraalVM; SpringBoot experience also considered Familiarity with messaging systems such as Pub/Sub, Kafka, or RabbitMQ Strong understanding of REST API design, CI/CD practices, and Agile methodologies Experience in fintech, payments, or banking domains Who this More ❯

Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform) is a plus. Exposure to messaging patterns (RabbitMQ, Kafka) and authentication methods like OAuth2 is beneficial. A strong problem-solver who can work independently while effectively collaborating with cross-functional teams. Prior experience More ❯

would be desirable: Postgres, Liquibase for database versioning Containerisation with Docker API design with Swagger/OpenAPI TDD (JUnit, Mockito), high code quality standards Kafka for event-driven architecture React, TypeScript Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. More ❯

Social network you want to login/join with: col-narrow-left Client: Denu Recruit Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: Senior More ❯

SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help spearhead their More ❯

JUnit, Mockito CI/CD: Experience with Jenkins or similar pipelines Collaboration: Agile working with cross-functional teams Frontend experience with React & TypeScript Messaging: Kafka Build tools: Gradle API Design: Swagger/OpenAPI This role is ideal for engineers looking to build on their SC clearance and gain NPPV3 More ❯

Bring Deep expertise in .NET/C#, AWS, microservices, and distributed systems. Strong leadership and mentoring skills. Proficiency with messaging systems (SNS/SQS, Kafka), CI/CD, and container orchestration (EKS/Kubernetes). Passion for craftsmanship and engineering excellence. Bonus if you have experience in healthcare/ More ❯

experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and More ❯

ability to choose the right data storage for any particular use case An understanding of patterns for asynchronous messaging, practical experience with RabbitMQ or Kafka or GCP PubSub Hands-on experience with Elasticsearch The ability to choose the right caching strategy for different use cases, practical experience with Redis More ❯

and financial goals Shape the future of AI - influencing architecture, research, and cross-team learning. SKILLS AND EXPERIENCE Required Strong Python backend experience (Flask, Kafka, Docker, Kubernetes) 2+ years’ experience building or integrating AI (e.g. LLM, NLP) Clear passion for AI – side projects, research or professional experience Excellent communication More ❯

meetings and supporting colleagues and co-workers Estimation of work Write and run SQL queries to inspect backend-consumed data. Our technology stack includes Kafka/Kubernetes/Docker/Clickhouse/Git/Devops Experience & Qualities The ideal candidate wants to work on both front and back end More ❯

clear technical docs. Familiarity with RESTful microservices & modern DevOps workflow. Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, IaC (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 expertise, open-source or community contributions Doc1. ? Package Snapshot £50–55 k salary + up to 10 % bonus More ❯

MuleSoft or Power Automate Deep knowledge of SQL, REST, JSON, XML Experience in Agile, API security, and cloud integrations Nice to Have MuleSoft CloudHub Kafka or similar pub-sub systems Finance industry experience Generous leave + private medical Enhanced parental policies Pension & bonuses Want to help shape smarter systems More ❯

experience with Azure-based development; AWS knowledge is a plus Familiarity with integration tools like Postman, API Management, and cloud messaging (e.g., Service Bus, Kafka) Solid grasp of testing strategies, design principles (SOLID, DRY), and microservice architecture Proactive mindset with excellent communication and time-management skills Why You'll More ❯

including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯