Confluent Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Confluent Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires 9+ years of experience, strong skills in Apache Kafka, Java, Python, or Scala, and familiarity with cloud platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
-
🗓️ - Date discovered
August 22, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Remote
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#Data Warehouse #AWS (Amazon Web Services) #Monitoring #Data Pipeline #Consulting #Kafka (Apache Kafka) #Data Engineering #Docker #Scala #Deployment #Apache Kafka #Prometheus #Cloudera #Big Data #REST (Representational State Transfer) #Grafana #Azure #Kubernetes #Data Lineage #Splunk #DevOps #Data Lake #GCP (Google Cloud Platform) #Java #Cloud #Python #Migration
Role description
Role: Confluent Engineer
Work Mode: Remote
Location : UK
Experience : 9+ Years
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.
Mandatory Skills
• 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
Desired Skills
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
• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills
Role: Confluent Engineer
Work Mode: Remote
Location : UK
Experience : 9+ Years
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.
Mandatory Skills
• 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
Desired Skills
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
• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills
