Confluent Consulting Engineer

Ampstek; Las Palmas de Gran Canaria; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A technology solutions company is offering a remote position for a Confluent Consulting Engineer. The ideal candidate will have over 5 years of experience with Apache Kafka, proficiency in Java, Python, or Scala, and a strong understanding of data streaming patterns. This 6-month contract role requires excellent problem-solving skills and the ability to communicate effectively.

Formación

• 5+ years of hands-on experience with Apache Kafka.
• Strong proficiency in Java, Python, or Scala.
• Solid understanding of event-driven architecture.

Conocimientos

Apache Kafka

Java

Python

Scala

Docker

Kubernetes

CI/CD pipelines

Herramientas

AWS

GCP

Azure

Kafka Connect

Kafka Streams

Prometheus

Grafana

Splunk

Descripción del empleo

Greetings From Ampstek

We have a Contract – Remote Job opportunity As Confluent Consulting Engineer

Job title: Confluent Consulting Engineer

Location: Spain

Duration: 6 Months

Contract – Remote

If interested, kindly share your CV at [e-mail]

Job Description

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

• 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

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