Senior Data Engineer - Scale Data Pipelines & AI

Elsevier is seeking a Senior Data Engineer to design, build, and operate scalable data pipelines powering Scopus, ScienceDirect, and AI-driven research solutions. You will work hands-on and guide other engineers while ensuring reliable batch and ELT workflows.

Required skills include Python, Java, Spark, SQL, and Airflow; experience with data lakes, distributed systems, and AWS is valued. Flexible hours and collaborative culture are emphasized.

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