At a Glance
- Tasks: Build and maintain data pipelines for Scopus and ScienceDirect using Python, SQL, and Spark.
- Company: Join Elsevier's innovative Search and AI Platform team.
- Benefits: Gain hands-on experience, mentorship, and competitive salary.
- Other info: Opportunity for growth and learning alongside experienced engineers.
- Why this job: Contribute to impactful AI solutions while developing your skills in a collaborative environment.
- Qualifications: Familiarity with Python, SQL, and data processing tools.
The predicted salary is between 30000 - 40000 £ per year.
Elsevier's Search and AI Platform is seeking a Junior Data Engineer to build and maintain data pipelines supporting Scopus, Science Direct and AI-powered solutions.
You will work with Python, SQL, Spark, and Airflow in a collaborative team to process large-scale data and deliver reliable data services.
You will learn alongside senior engineers, contribute to ELT/ETL processes, and help deploy solutions on AWS, while writing clean, tested code and participating in code reviews to accelerate growth.
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We think you need these skills to ace Data Engineer II — Pipelines, Spark & Cloud
SQL
Python
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration
Communication Skills
