Senior Data Engineer: Build Scalable AI Pipelines
Summary
Senior Data Engineer builds scalable AI pipelines and robust data architectures using Python, SQL, and cloud platforms like Azure and GCP.
Sytac is seeking a Senior Data Engineer in Amsterdam to build high-performing engineering teams and develop robust data pipelines. The ideal candidate has over 6 years of experience in software development with a strong background in Python, SQL, and distributed data processing. Responsibilities include applying software engineering best practices in data architecture, developing ETL/ELT workflows, and designing scalable environments using Azure and GCP. Benefits include unlimited growth days, a comprehensive tech budget, and contributions to your pension.