Senior Software Engineer II

Senior Data/Platform Engineer II

About The Team:

Our team is dedicated to unlocking the rich knowledge embedded within Elsevier’s content through our semantic data platform; this empowers researchers, clinicians, and innovators worldwide to gain new insights, make informed decisions, and accelerate progress across research, healthcare, and life sciences. We lead the ongoing transformation of Elsevier’s vast, unstructured information into richly interconnected knowledge graphs that capture the full depth and nuance of scientific meaning. Through our dynamic knowledge discovery platform, we combine graph-powered agentic AI with advanced search technologies to deliver contextually relevant, trustworthy, and precise answers. As part of the Data Engineering team, you’ll contribute to the systems and infrastructure that fuel this mission. This role focuses on building reusable platform components and delivering Data Products that enable scalable, reliable, and high-performance data solutions across Elsevier’s ecosystem.

About The Role:

We are looking for a Senior Data/Platform Engineer II who can lead the design and implementation of complex systems, mentor team members, and contribute to our evolving data engineering architecture. You’ll work on large-scale data pipelines, orchestration frameworks, and services that support our data products — collaborating closely with product, platform, and other engineering teams to deliver impactful, high-quality solutions.

Responsibilities:

• Design and develop scalable data processing workflows and microservices using Spark, Spark Streaming, and Airflow.
• Write modular, testable code in Python or Scala, aligned with software engineering best practices.
• Lead implementation of system components that span multiple services and modules.
• Diagnose and resolve complex technical issues in distributed data systems.
• Participate in architecture discussions, design reviews, and engineering rituals.
• Develop and maintain data models to support analytical and operational use cases.
• Collaborate with cross-functional stakeholders to translate requirements into engineering solutions.
• Contribute to mentoring and onboarding of junior engineers.
• Champion continuous improvement and knowledge-sharing across the team.
• 5+ years of professional experience in software or data engineering.
• Proven track record building and optimizing large-scale batch and streaming data systems.
• Proficiency with Spark, Spark Streaming, Airflow, Kafka, Databricks and either Python or Scala.
• Deep understanding of distributed system design and performance optimization
• Experience working with semantic technologies like RDF and data modeling.
• Exposure to graph-based data models or knowledge graph architecture.

Requirements:

• Knowledge and working experience in AWS (or similar), especially with block storage (e.g. S3), data processing (e.g. EMR, Athena/Glue) and messaging services (e.g. SQS) and knowing how to deploy these using infrastructure-as-a-code tools (to safely and predictably provision and manage infrastructure).
• Experience with software development with code provisioning and CI/CD pipelines utilizing tools like Git and, respectively, Jenkins.
• Ability to independently drive technical outcomes from problem to deployment.
• Familiarity with Agile or other iterative development methodologies.
• Experience building internal platforms or reusable engineering components.
• Knowledge of observability best practices for data systems (e.g., logging, metrics, alerts).
• Work in a Way That Works for You:  

We promote a flexible work environment that meets the needs of a diverse team. Whether you prefer remote work, hybrid work, or on-site collaboration, we want to support your success. Our well-being initiatives include shared parental leave, study assistance, sabbaticals, and access to wellness programs.  

Working For You:

We aim to support you in all areas of life. Our comprehensive benefits package includes:  

• Health insurance options for you and your family.  
• Group life and accident insurance for financial security.  
• Employee assistance programs and mental health resources.  
• Flexible working arrangements for work-life balance.  
• Paid time-off options, including sick leave, vacation, and public holidays.  
• Subsidized meals and free transportation in select locations.  

About Us:

Our organization is a global leader in information and analytics, aiding researchers and healthcare professionals in advancing science and improving health outcomes for society. We combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and fostering a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world

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