GCP Data Engineers

We are seeking experienced Senior GCP Data Engineers with strong hands-on coding skills and proven experience in developing scalable batch and real-time data platforms. The ideal candidates will have a demonstrated track record in building data pipelines and working with streaming technologies. Candidates must be EU residents and available at short notice. Main Responsibilities:

Design and build scalable batch and real-time data platforms

• Develop high-throughput, event-driven streaming pipelines processing large volumes of events per second
• Implement end-to-end streaming architectures
• Work with temporal joins, watermarks, state management, checkpointing, and exactly-once processing
• Monitor backpressure and optimize pipeline performance
• Design and develop data lakes, ETL/ELT pipelines, and analytics-ready data platforms
• Write production-ready code and successfully complete live coding assessments Key Requirements:

Strong Google Cloud Platform / GCP Data Engineering experience

• Strong hands-on coding skills
• Proven streaming experience
• Experience with Apache Kafka and Apache Flink
• Proficient in Python, Spark, PySpark, and SQL
• Experience with Hadoop, Snowflake, data lakes, and ETL/ELT pipelines
• Experience with scalable batch and real-time data platforms
• Fluency in English Nice to Have:

Experience in Agile team environments

Additional certifications in Cloud technologies

Experience with data modeling and data warehousing concepts Other Details:

This role is 100% remote. The project has just started with a full-time engagement expected for approximately 12 months initially, with a potential extension. The team will consist of around 10 members, including key roles such as Product Owner and Technical Architect.