1 to 25 of 39 Kafka Jobs in Wolverhampton

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 ❯

SQL and NoSQL databases, especially PostgreSQL Experience with AWS cloud services Proficiency in Docker and Kubernetes Knowledge of Git and version control Experience with Kafka, RabbitMQ, or similar messaging technologies Familiarity with monitoring tools like Prometheus and Grafana, logging frameworks Understanding of DevOps practices Strong analytical and problem-solving 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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, and DevOps. Experience & Qualities The ideal candidate wants to work on both front-end and back-end projects. Keen to More ❯

e.g., Prometheus, Grafana) Comfortable working on distributed systems and improving developer workflows A product mindset and a collaborative approach to problem-solving Experience with Kafka, gRPC, or open-source contributions is a bonus If you’re a Platform Engineer who thrives in high-trust, fast-moving environments and enjoys 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 ❯

Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. #J 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 ❯

/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on More ❯

will work alongside experienced developers who will be happy to support your growth Key requirements: Experience with Node.js Familiarity with message brokers like SNS, Kafka, or similar. AWS. Interest working with data would be a bonus. If you’re a Software Engineer who has a real interest in software More ❯

the ELK technology stack, as well as experience in technical delivery and providing technical leadership to the build team. Experience with Splunk, databases, MQ, Kafka, DevOps, CI/CD pipelines, and payments domain knowledge would be advantageous. #J-18808-Ljbffr More ❯

with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. #J-18808-Ljbffr More ❯

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and More ❯