Copyright © 2025
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Avance Consulting. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Role: Technology Lead / Confluent Consulting Engineer
Type: Permanent
Location: Paris, França | Munich, Germany | Amsterdam, Nederland | Madrid, Spain | London, United Kingdom
Job Description:
Role – Technology Lead / Confluent Consulting Engineer
Technology – Apache Kafka, Confluent Platform, Stream Processing
Location – Madrid, Spain
Job Description
Your role
As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions.
Required:
• Hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.)
• Strong proficiency in Java, Python, or Scala
• Solid understanding of event-driven architecture and data streaming patterns
• Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure
• Familiarity with Docker, Kubernetes, and CI/CD pipelines
• Excellent problem-solving and communication abilities
Preferred:
Candidates with experience in Confluent Kafka and its ecosystem will be given preference:
• Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center
• Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink
• Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC
• Confluent certifications (Developer, Administrator, or Flink Developer)
• Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes
• Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns
• Exposure to monitoring tools (Prometheus, Grafana, Splunk)
• Experience with data lakes, data warehouses, or big data ecosystems