Senior Data Engineer II

Elsevier; Bengaluru; On-site; INR 3,200,000 - 4,200,000; Full time

Benefits offered by this job

Group Health Insurance Policy (self &

Family)

Group Life insurance/accident policy

Generous long-service awards

New Baby gift

Subsidized food (India- Chennai)

Casual Leave, various leaves

Free Transport to office (India-Chenna

Job summary

Elsevier is seeking a Senior Data Engineer II for the Libra team to design, build and operate scalable data pipelines and services for report generation across Libra services. You will own architecture, mentor engineers and drive data quality and governance in a fast-growing AI-enabled platform.

The role requires 6+ years in data engineering, strong SQL, Python, Airflow, Snowflake and AWS experience, with an emphasis on scalable, reliable data systems and CI/CD practices.

Qualifications

• 6+ years of professional experience in data engineering.
• Strong skills in SQL, Python, Airflow and data warehousing.
• Experience with Snowflake, AWS, Git, ETL/ELT and CI/CD.
• Ability to lead end-to-end technical delivery and mentor others.

Responsibilities

• Lead design, prototyping and build of scalable data pipelines.
• Own cloud infrastructure in AWS and optimize costs and performance.
• Translate product requirements into scalable technical solutions and roadmaps.
• Mentor engineers, review designs and code to raise engineering standards.
• Ensure data quality, observability, governance and SLAs across Libra data products.
• Contribute to wider architectural decisions within the Search and AI Platform.

Skills

SQL

Python

Airflow

Data Warehousing

Snowflake

AWS

Git

ETL/ELT

Big data

Spark

Tools

Snowflake

AWS

Spark

Airflow

Kafka

Fast API

Spring Boot

Job description

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

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