Associate Data Engineer, Confluent

• This role is perfect for someone passionate about distributed systems, stream processing, and data engineering best practices
• A degree in Computer Science, Data Engineering, Software Engineering, or a related field
• Strong programming skills in Python, Java, or Scala
• Familiarity with SQL and NoSQL databases
• Basic understanding of Kafka, Flink, Spark, or other stream processing technologies (hands-on experience is a plus)
• Exposure to cloud computing platforms (AWS, GCP, or Azure) and infrastructure as code
• Interest in distributed systems, data architectures, and real-time analytics
• Strong problem-solving skills and a willingness to learn in a fast-paced environment

Desirable

• We are seeking a Data Engineer to join our team and contribute to building, optimising, and maintaining our real-time data streaming infrastructure
• You will work alongside experienced engineers to design, develop, and deploy scalable data pipelines that power mission-critical applications
• Design, develop, and maintain real-time data pipelines using Apache Kafka, Flink, and other streaming technologies
• Work with structured and unstructured data to enable analytics, monitoring, and event-driven applications
• Optimise data ingestion, transformation, and storage for performance, reliability, and scalability
• Collaborate with software engineers, data scientists, and DevOps teams to integrate data solutions into production environments
• Implement data quality, observability, and governance best practices
• Troubleshoot and resolve performance issues in streaming applications and distributed systems