Summary: The Data Engineer role focuses on leveraging extensive experience with Apache Kafka and real-time architecture to support critical business operations. The position requires strong knowledge of various Kafka components and cloud platforms, emphasizing collaboration with development teams to enhance data processing capabilities. The engineer will also maintain Kafka deployment models and assist in optimizing data ingestion processes.

Key Responsibilities:

• Develop and maintain Kafka data pipelines and messaging solutions.
• Monitor Kafka performance and enhance operational efficiency.
• Collaborate with development teams to integrate Kafka applications and services.
• Maintain an architectural library for Kafka deployment models and patterns.
• Assist developers in maintaining Kafka connectors and topics schemas for data ingestion.

Key Skills:

• Extensive experience with Apache Kafka and real-time architecture.
• Strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam.
• Experience with cloud platforms such as GCP Pub/Sub.
• Excellent problem-solving skills.
• Knowledge of Kafka data pipelines and messaging solutions.

Salary (Rate): undetermined

City: Leeds

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT