Real-time Data Streaming Engineer (Kafka, Flink, Spark Streaming)

We are seeking a highly skilled Real-Time Data Streaming Engineer with strong expertise in designing and building low-latency, event-driven data pipelines. You will be responsible for architecting, implementing, and optimizing streaming platforms using Apache Kafka, Apache Flink, and Spark Streaming. The ideal candidate has hands-on experience with large-scale, high-throughput systems, ensuring data reliability, scalability, and performance for enterprise-grade solutions.

Details :

Location : Remote in EU

Employment Type : Full-Time, B2B Contract

Start Date : ASAP

Language Requirements : Fluent English

Key Responsibilities

• Design, develop, and maintain real-time data streaming pipelines using Kafka, Flink, and Spark Streaming.
• Architect event-driven and microservices-based solutions for real-time analytics and processing.
• Implement data ingestion, transformation, and enrichment workflows across distributed systems.
• Optimize performance and scalability of streaming jobs for high-throughput, low-latency environments.
• Ensure data quality, governance, and fault tolerance within the streaming infrastructure.
• Integrate streaming solutions with data warehouses, data lakes, and cloud platforms (AWS, Azure, GCP).
• Collaborate with data engineers, data scientists, and application teams to deliver business-critical real-time insights.
• Monitor, troubleshoot, and improve the reliability and resilience of streaming systems.
• Participate in system design, code reviews, and best practices development.

Requirements

Nice to Have

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