Working in data engineering at Elsevier means your work truly matters — it powers the insights that drive healthcare, education, and scientific discovery
Job Summary
Working in data engineering at Elsevier means your work truly matters — it powers the insights that drive healthcare, education, and scientific discovery.
As a Senior Data Engineer, you’ll help build the foundation for data-driven decision making across the organization, collaborating with teams to deliver scalable, secure, and reliable data solutions.
We care about your wellbeing and success and offer benefits including Private Medical/Dental Plan, Savings Fund, Life Insurance, and Meal/Grocery Voucher.
Matching Summary
Working in data engineering at Elsevier means your work truly matters — it powers the insights that drive healthcare, education, and scientific discovery.
Skills & Requirements
Must-have
Python for data engineering and automation
Snowflake cloud data platform experience
AWS data services such as Glue and S3
ETL and ELT pipeline development
Airflow or workflow orchestration tools
DataOps practices and CI/CD pipelines
Cross-functional team collaboration
Nice-to-have
Mentoring and coaching junior engineers
Data modeling concepts knowledge
Familiarity with data governance and security
Experience with containerization or orchestration
Exposure to streaming technologies and dbt
Clear communication with technical and non-technical audiences
Working in hybrid office environment
Key Requirements
Relevant professional experience in data engineering
Strong Python and SQL skills
Experience with Snowflake or similar cloud platforms
Familiarity with AWS data services
Experience with Airflow or similar orchestration tools
Understanding of DataOps and CI/CD for data pipelines
Willingness to work onsite twice a week in Reforma