At a Glance
- Tasks: Design and maintain real-time data pipelines using Kafka and Confluent components.
- Company: Join a leading tech firm with a focus on innovative data solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with a focus on innovation and career advancement.
- Why this job: Make an impact in the world of data streaming and collaborate with top professionals.
- Qualifications: 5+ years of Kafka experience and strong coding skills in Java, Python, or Scala.
The predicted salary is between 60000 - 80000 £ per year.
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:
- 5+ years of 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:
- 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
Personal:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
We think you need these skills to ace Remote Confluent Kafka Engineer
Apache Kafka
Confluent Platform
Java
Python
Scala
Event-Driven Architecture
Data Streaming Patterns
