At a Glance
- Tasks: Lead the design and delivery of scalable data pipelines for innovative AI projects.
- Company: Join Elsevier, a global leader in information and analytics.
- Benefits: Enjoy flexible hours, health insurance, and generous leave policies.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact on research and healthcare with cutting-edge technology.
- Qualifications: 6+ years in data engineering with strong skills in SQL, Python, and AWS.
The predicted salary is between 63000 - 77000 £ per year.
Are you a Senior Data Engineer II looking for an innovative role? Do you enjoy being part of a team that works with a diverse range of technology?
About our Team: The Search and AI Platform is Elsevier’s agentic data platform which powers products such as LeapSpace, Scopus, ScienceDirect, Clinical Key, Reaxys, Libra and our next-generation AI powered search systems. The platform uses agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data to deliver insights to the scientific community so they can collaborate more effectively, work smarter, and deliver quality research more quickly.
About the Role: The Libra Team is a core part of Elsevier’s Search and AI Platform. This team works on building an Evaluation Platform for Subject Matter Experts (SMEs) to review AI-generated medical content item-by-item, provide ratings/feedback based on predefined metrics, track team progress, and export results for quality assurance and model improvement purposes. As a Senior Data Engineer II, you will lead the technical design and delivery of robust, scalable and reliable data pipelines and services for report generation across Libra services, set engineering standards within the team, and mentor and grow other engineers.
Responsibilities:
- Leading the design, prototyping and build of robust and scalable data pipelines, setting the standard for clean code and best-practice software engineering principles across the team.
- Working with technologies including Python (Fast API), Java (Spring Boot), Data Warehouse, Spark, Airflow, Snowflake, ETL/ELT, Iceberg, Kafka and RDBMS.
- Owning cloud infrastructure in AWS to host, monitor and scale the services, automating common tasks mercilessly and driving cost and performance optimisation.
- Partnering with Product Managers, architects and engineering teams to translate product requirements into scalable technical solutions, implementation plans and delivery roadmaps.
- Mentoring and coaching engineers through design reviews, pair programming and code review, raising the technical bar of the team.
- Driving data quality, observability, governance and reliability practices across Libra data products, including SLAs, lineage and monitoring.
- Contributing to architectural decisions for the wider Search and AI Platform and influencing technical direction beyond your immediate team.
Requirements:
- 6+ years of professional experience in data engineering, with a strong track record of building scalable, high-performance and reliable data platforms and services.
- Strong core skill set including SQL, Python, Airflow, Data Warehousing, Snowflake, AWS, Git, ETL/ELT and familiarity with AWS Glue.
- Deep experience with SQL and data warehouses, preferably Snowflake, including data modelling, performance tuning and cost management at scale.
- An advocate and enforcer of best practices for rapid development of quality software, including clean code, architectural design patterns, testing strategy and CI/CD.
- Comfortable learning new technologies, languages and tools on the job, and helping others do the same, to ensure the product is not left behind in a rapidly evolving ecosystem.
- Demonstrated experience leading the technical delivery of non-trivial projects end to end, from design through to production support.
- A desire to operate in a senior data engineering role, including deputising for the technical lead, owning design and implementation of data systems and pipelines, and setting engineering standards.
- An inclusive, positive, collaborative mindset and a desire to deliver real business value to our customers.
Nice to have:
- Experience with large-scale content management systems and big data platforms.
- Experience leading architectural decisions within a team or across teams.
- Familiarity with CI/CD pipelines and infrastructure as code (GitHub Actions, Terraform).
- Exposure to search, graph, or large-scale analytical databases.
- Strong ownership mindset and proven ability to drive outcomes in ambiguous problem spaces.
Work in a way that works for you:
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and 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.
Working for you:
- Group Health Insurance Policy (covering self and family)
- Group Life insurance/accident policy
- Generous long-service awards
- New Baby gift
- Subsidized food provided (applies to India- Chennai)
- Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
- Free Transport provided to and from the office (applies to India-Chennai)
About Us:
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. At Elsevier, your work contributes to the world’s.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. 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.
Senior Data Engineer II 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.
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We think you need these skills to ace Senior Data Engineer II in London
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
