Senior Data Engineer I

Elsevier's Academic Information Systems (AIS) DataOps team is seeking a Senior Data Engineer I to join their technology group. This role is crucial in building and maintaining data infrastructure that supports various products across the enterprise. The position involves working with modern technologies including Snowflake, Airflow, Kubernetes, and various AWS services. The ideal candidate will help create secure, scalable data infrastructure while developing deep domain knowledge of the business.

The role offers an opportunity to work with complex data flows across global teams and data centers, supporting data-driven decision making throughout the organization. You'll be responsible for ensuring data reliability, implementing best practices, and driving operational efficiency. The position combines technical expertise with strategic thinking, requiring both hands-on development and architectural planning.

Elsevier offers a flexible work environment with hybrid options and promotes a healthy work-life balance. The company has a strong focus on employee development and wellbeing, offering comprehensive benefits including healthcare, pension, and various learning opportunities. With an average tenure of 9 years, Elsevier demonstrates its commitment to employee satisfaction and career growth.

As part of RELX Group, Elsevier is a global leader in information and analytics, particularly in science and healthcare sectors. The company combines quality information with advanced analytics to support scientific research, healthcare delivery, and innovation. This role offers the opportunity to contribute to meaningful work that impacts scientific progress and healthcare outcomes worldwide.