Confluent /KAFKA Consulting Engineer(Remote UK)
Posted 6 days ago by Natobotics
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Confluent Consulting Engineer role is a remote position based in the UK, focused on designing, developing, and maintaining scalable real-time data pipelines using Kafka and Confluent components. The engineer will collaborate with data engineers, solution architects, and DevOps teams to deliver high-performance streaming solutions across various cloud environments. The contract duration is 6 months, requiring extensive experience in data streaming technologies.
Key Responsibilities:
- Design and implement real-time data streaming solutions using Apache Kafka and Confluent Platform.
- Develop, optimize, and maintain event-driven architectures and microservices integrations.
- Collaborate with cross-functional teams to ensure scalability, resilience, and data quality.
- Deploy and manage Kafka clusters on AWS, Azure, or GCP.
- Contribute to CI/CD pipelines, observability, and infrastructure automation.
- Troubleshoot performance bottlenecks and support production streaming environments.
Key Skills:
- 5+ years of hands-on experience with Apache Kafka (open-source, Confluent, Cloudera, or AWS MSK).
- Strong proficiency in Java, Python, or Scala.
- Solid understanding of event-driven architecture and data streaming patterns.
- Experience deploying Kafka on cloud platforms (AWS, GCP, Azure).
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Excellent problem-solving, analytical, and communication skills.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Confluent Consulting Engineer
Work Mode: Remote (UK-based)
Contract Duration: 6 months
Role Overview
We are looking for experienced Confluent Consulting Engineers to design, develop, and maintain scalable real-time data pipelines and integrations using Kafka and Confluent components. You’ll work closely with data engineers, solution architects, and DevOps teams to deliver high-performance streaming solutions across cloud environments.
Key Responsibilities
- Design and implement real-time data streaming solutions using Apache Kafka and Confluent Platform.
- Develop, optimize, and maintain event-driven architectures and microservices integrations.
- Collaborate with cross-functional teams to ensure scalability, resilience, and data quality.
- Deploy and manage Kafka clusters on AWS, Azure, or GCP.
- Contribute to CI/CD pipelines, observability, and infrastructure automation.
- Troubleshoot performance bottlenecks and support production streaming environments.
Must-Have Skills
- 5+ years of hands-on experience with Apache Kafka (open-source, Confluent, Cloudera, or AWS MSK).
- Strong proficiency in Java, Python, or Scala.
- Solid understanding of event-driven architecture and data streaming patterns.
- Experience deploying Kafka on cloud platforms (AWS, GCP, Azure).
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Excellent problem-solving, analytical, and communication skills.
Desired Skills (Preferred)
- Hands-on experience with Confluent Kafka ecosystem, including: Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center
- Confluent Cloud services: ksqlDB Cloud, Apache Flink Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC
- Confluent certifications (Developer, Administrator, or Flink Developer).
- Experience with Confluent Platform, Confluent Cloud managed services, and multi-cloud deployments.
- Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns.
- Exposure to Prometheus, Grafana, or Splunk for monitoring.
- Experience working with data lakes, data warehouses, or big data ecosystems.
Personal Attributes
- Strong analytical and problem-solving abilities.
- High initiative, adaptability, and flexibility.
- Excellent customer orientation and quality focus.
- Strong verbal and written communication skills.
Experience Required
Minimum: 5 years relevant experience (10 years total professional experience preferred).