At a Glance
- Tasks: Design and build scalable data pipelines for impactful applications.
- Company: Join Elsevier's innovative Search and AI Platform team.
- Benefits: Enjoy flexible hours, generous leave, and a comprehensive pension plan.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact in the scientific community with cutting-edge technology.
- Qualifications: Experience in data engineering and strong skills in Python and Java.
The predicted salary is between 70000 - 90000 £ per year.
Are you passionate about building scalable, high-performance data‑driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact?
About the team
The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‑driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‑scale search and analytics use cases. You will work hands‑on while also supporting and guiding other engineers.
About the role
The Search and AI Platform is Elsevier’s agentic data platform, which powers products such as Scopus, ScienceDirect, and our next‑generation LLM‑powered research systems. The platform 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 that enable them to collaborate more effectively, work smarter, and produce high‑quality research more efficiently.
Key Responsibilities
- 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
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
Why join us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Benefits
- 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)
Work in a way that works for you. We promote a healthy work‑life balance across the organization. We offer an appealing working prospect for our people, with numerous wellbeing initiatives and shared parental leave to help you meet your immediate responsibilities and your long‑term goals.
To access benefits specific to your location, visit our benefits page for details.
Equal Opportunity Statement
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.
Senior Data Engineer employer: RELX INC
At Elsevier, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Senior Data Engineer, you will not only have the opportunity to work with cutting-edge technologies but also benefit from a comprehensive pension plan, generous vacation entitlement, and flexible working hours that promote a healthy work-life balance. Our commitment to employee growth is evident through various internal communities, knowledge-sharing initiatives, and a supportive culture that encourages you to make a meaningful impact in the scientific community.
