At a Glance
- Tasks: Design and build scalable data pipelines for cutting-edge research applications.
- Company: Join a global leader in information and analytics, driving impactful science.
- Benefits: Enjoy flexible hours, generous leave, and a comprehensive pension plan.
- Other info: Collaborative environment with excellent career growth and wellbeing initiatives.
- Why this job: Make a real difference in the scientific community with innovative data solutions.
- Qualifications: Strong Python skills and experience with data engineering concepts required.
The predicted salary is between 63000 - 77000 £ per year.
Are you passionate about building scalable, high-performance data-driven applications? 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. 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.
- 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 (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.
We promote a healthy work/life balance across the organization. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
- 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)
About the business – A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice.
If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Please read our Candidate Privacy Policy.
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.
Summary Location: London Wall Type: Full time
Senior Engineer, Data Engineering in London employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
