Remote Confluent Kafka Engineer

N Consulting Ltd
Oxford, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Oxford, United Kingdom

Tech stack

Java
Amazon Web Services (AWS)
Audit Trail
Azure
Big Data
Cloud Computing
Continuous Integration
Data Warehousing
DevOps
Monitoring of Systems
Python
Open Source Technology
Role-Based Access Control
Prometheus
Cloudera
Data Streaming
Grafana
Multi-Cloud
Event Driven Architecture
Data Lake
Kubernetes
Data Lineage
Apache Flink
Kafka
Splunk
Data Pipelines
Docker
Confluent

Job description

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.

Requirements

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:

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

Personal

Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:

High analytical skills

A high degree of initiative and flexibility

High customer orientation

High quality awareness

Excellent verbal and written communication skills

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