Senior Data Engineer

About the team

The Search and AI Platform supports core products such as Scopus, Science Direct, and AI‑driven research solutions. As a Senior Data Engineer, you will design, build, and run reliable data pipelines and services that support large‑scale search and analytics use cases, while also guiding other engineers.

The platform is Elsevier’s agentic data platform, powering products such as Scopus, Science Direct, and next‑generation LLM‑powered research systems. It utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community.

• Design, build, and maintain scalable data pipelines and services
• Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
• Work with technologies such as 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

• Experience working as a data or software engineer on production systems
• Strong skills in Python and experience with at least one backend language (e.g., 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

• Comprehensive Pension Plan
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption, and Family Care leave
• Flexible working hours
• Personal Choice budget
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Employee Assistance Program (global)

We promote a healthy work/life balance across the organization, offering flexible working hours, remote work options, and wellbeing initiatives to support both short‑term responsibilities and long‑term goals.

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. We also support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility.