Data Engineer with Kafka

Link Group is seeking an experienced Data Engineer to join our team and contribute to the development of modern, event-driven data streaming solutions. In this role, you will work with cloud-based platforms and real-time data processing technologies to build reliable and scalable data architectures.

Key responsibilities

• Designing and maintaining robust data pipelines using Apache Kafka and Confluent Cloud.
• Developing and optimizing data processing solutions using Python and SQL.
• Implementing real-time data streaming workflows to support business requirements.
• Collaborating with cross-functional teams to ensure data integrity and system scalability.

Requirements

• Extensive hands-on experience with Confluent Cloud and Apache Kafka.
• Strong proficiency in Python programming and advanced SQL querying.
• Solid understanding of data engineering principles and real-time data processing.
• Familiarity with event-driven architecture and Change Data Capture (CDC) tools.
• Experience working within cloud environments, preferably Google Cloud Platform.

What we offer

• Fully remote work environment allowing for flexible collaboration.
• B2B cooperation model with clear professional standards.
• Opportunity to work with cutting-edge cloud-based data streaming technologies.
• Continuous professional development in Kafka, Confluent Cloud, and advanced data engineering practices.