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Lead design and build of scalable, reliable data pipelines and services for report generation
Own AWS cloud infrastructure hosting, monitoring and scaling, with cost and performance optimisation
Mentor and coach engineers through design reviews, pair programming and code review
Drive data quality, observability, governance and reliability practices, including SLAs and lineage
Translate product requirements into technical solutions and delivery roadmaps with product and architects
lead the technical design and delivery of robust, scalable and reliable data pipelines and services for report generation
Owning cloud infrastructure in AWS to host, monitor and scale the services
Mentoring and coaching engineers through design reviews, pair programming and code review
Driving data quality, observability, governance and reliability practices across Libra data products, including SLAs, lineage and monitoring.
Partnering with Product Managers, architects and engineering teams to translate product requirements into scalable technical solutions
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- 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.
- 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.
- 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.
- 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.
- 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.
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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: -
Requirements: -
Nice to have
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:
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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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. USA Job Seekers: