Senior Data Engineer II – Search and AI Platform
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.
We’re looking for an innovative, passionate Senior Data Engineer II in the Libra team to lead the design, build and operation of scalable pipelines that ingest content into a centralized content storage system. The Libra systems are in early-stage implementation and will handle massive volumes of content, so we are looking for someone who can take technical ownership of the architecture, build and maintenance of scalable and reliable data pipelines and services for various kinds of report generation.
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: -
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- 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. Click here to access benefits specific to your location.
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Skills Required
- 6+ years of professional experience in data engineering
- Experience building scalable, high-performance, reliable data platforms and services
- Strong SQL skills
- Python experience
- Airflow experience
- Data warehousing experience
- Snowflake experience
- AWS experience
- Git experience
- ETL/ELT experience
- Familiarity with AWS Glue
- Experience with data modeling, performance tuning, and cost management at scale
- Experience applying clean code, architectural design patterns, testing strategies, and CI/CD practices
- Ability to learn and adopt new technologies, languages, and tools
- Experience leading technical delivery of non-trivial projects end to end, from design through production support
- Experience owning the design and implementation of data systems and pipelines
- Experience setting engineering standards and deputizing for a technical lead
- Inclusive, positive, collaborative mindset
- Experience with large-scale content management systems and big data platforms
- Experience leading architectural decisions within or across teams
- Familiarity with CI/CD pipelines and infrastructure as code, including GitHub Actions and Terraform
- Exposure to search, graph, or large-scale analytical databases
- Proven ability to drive outcomes in ambiguous problem spaces
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
