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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Senior Data Engineer - Scale Data Pipelines & AI employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
