Confluent Consulting Engineer

Infosys; Frankfurt; On-site; EUR 75,000 - 95,000; Full time

Job summary

A global technology company is seeking a Technology Lead / Confluent Consulting Engineer to design, develop, and maintain scalable real-time data pipelines using Apache Kafka. This role requires hands-on experience with Kafka and proficiency in Java, Python, or Scala. Candidates should have strong problem-solving and communication skills to collaborate effectively with teams across the organization. Full-time position located in Frankfurt, Hesse.

Qualifications

• Hands-on experience with Apache Kafka (any distribution).
• Strong proficiency in Java, Python, or Scala.
• Solid understanding of event-driven architecture.
• Experience deploying Kafka on cloud platforms.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain scalable real-time data pipelines.
• Collaborate with data engineers, architects, and DevOps teams.
• Deliver robust streaming solutions.

Skills

Apache Kafka

Java

Python

Scala

Docker

Kubernetes

CI/CD pipelines

Problem-solving

Communication

Tools

Confluent Platform

AWS

GCP

Azure

Prometheus

Grafana

Splunk

Job description

Location: Germany & France

Technology: Apache Kafka, Confluent Platform, Stream Processing

Role: Technology Lead / Confluent Consulting Engineer

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: IT Services and IT Consulting

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

• 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

About Infosys

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

By applying via Easy Apply option you confirm you have read, and you accept Infosys Data Privacy notice for the country of the job posting. Please see the relevant Data Privacy Notice under the link: https://digitalcareers.infosys.com/infosys/privacy-notice-emea.