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About the Role

The Search and AI Platform is Elsevier’s agentic data platform, powering products like Scopus, ScienceDirect, and next-generation LLM-powered research systems. It uses agentic services to interrogate knowledge graphs, search and recommendation systems, and research data, delivering insights to the scientific community for effective collaboration, smarter work, and efficient, high-quality research.

Responsibilities

• Design, build, and maintain scalable data pipelines and services
• Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
• Utilize technologies including Python, Java, Spark, SQL, and Airflow
• Apply good software engineering practices, including testing, documentation, and CI/CD
• Contribute to cloud-based systems (AWS), focusing on reliability, monitoring, and automation
• Collaborate with product, platform, and data science partners to deliver meaningful outcomes
• Support team learning through code reviews and knowledge sharing

Requirements

• Experience working as a data or software engineer on production systems
• Strong skills in Python and experience with at least one backend language (such as Java)
• Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
• Experience building or operating data pipelines using tools like Spark and Airflow
• Familiarity with cloud platforms (AWS preferred) and production monitoring
• Clear communication skills and a collaborative approach to problem-solving

Skills

• Python
• Java
• Spark
• SQL
• Airflow
• Software engineering practices
• Testing
• Documentation
• CI/CD
• Cloud platforms (AWS)
• Reliability
• Monitoring
• Automation
• Collaboration
• Code reviews
• Knowledge sharing
• Data engineering concepts (data lakes, batch processing, distributed systems)
• Production monitoring
• Communication
• Problem-solving

Work Type

• Flexible hours

Experience Level

• Senior level

Benefits

• Comprehensive Pension Plan
• Generous vacation entitlement
• Sabbatical leave option
• Maternity leave
• Paternity leave
• Adoption leave
• Family Care leave
• Flexible working hours
• Personal Choice budget
• Internal communities and networks
• Employee discounts
• Recruitment introduction reward
• Global Employee Assistance Program
• Wellbeing initiatives
• Shared parental leave

About the Company

• Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
• The company combines publishing heritage with quality information, vast data sets, and analytics to support visionary science and research, health education, interactive learning, and clinical practice.
• Elsevier contributes to global challenges and a sustainable future by harnessing innovative technologies for science and healthcare.
• RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results, and be more productive.
• RELX's purpose is to benefit society by developing products that help researchers advance scientific knowledge, doctors and nurses improve patient lives, lawyers promote the rule of law, businesses and governments prevent fraud, and consumers access financial services and fair prices.
• RELX employees are inspired to undertake initiatives that make unique contributions to society and their communities.

Equal Opportunity

• We are committed to providing a fair and accessible hiring process; accommodations or adjustments for disabilities or other needs are available upon request.
• We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
• USA Job Seekers: EEO Know Your Rights.