Data Engineer

This review offers insights into a Senior Software Engineer II (Data Engineering) position at Elsevier, focusing on the career advantages and key considerations for potential candidates.

About the Opportunity:

Elsevier is seeking a Senior Software Engineer II to join a dynamic team dedicated to transforming vast amounts of content into a powerful semantic data platform. This role is instrumental in empowering researchers, clinicians, and innovators by uncovering new insights and accelerating progress in science and healthcare. You will be at the forefront of creating interconnected knowledge graphs and leveraging cutting-edge AI, including generative AI capabilities, to build scalable, secure, and production-ready services.

Key Advantages for Candidates:

• Impactful Work: Contribute directly to a mission that drives global knowledge-sharing and tackles world-scale challenges in science and health. Your work will enable significant advancements for researchers and healthcare professionals worldwide.
• Technical Innovation: Be part of an AI Engineering team focused on building reusable generative AI capabilities and working with advanced technologies like graph-powered agentic AI and sophisticated search & retrieval.
• Leadership and Mentorship: This senior role offers the opportunity to lead the design and implementation of complex systems, mentor junior team members, and shape the evolution of the data engineering architecture.
• Career Growth and Development: Elsevier provides extensive learning and development resources, supporting continuous improvement and knowledge sharing. The company fosters a culture of growth, with opportunities to enhance skills in areas such as graph-based data models and observability.
• Work-Life Balance and Benefits: Elsevier is committed to promoting a healthy work/life balance, offering flexible working hours and a comprehensive benefits package. This includes generous holiday allowance, health screening, private medical benefits, wellbeing programs, parental leave, and a competitive pension scheme.

Key Considerations for Candidates:

• Technical Proficiency: A strong foundation in software or data engineering is essential, with proven experience in building and optimizing large-scale batch and streaming data systems. Proficiency with Spark, Spark Streaming, Airflow, and either Python or Scala is required.
• System Design Acumen: Deep understanding of distributed system design, data modeling, and performance optimization is crucial for success in this role.
• Agile Development: Familiarity with Agile or other iterative development methodologies will be beneficial for collaborating effectively with cross-functional teams.
• Problem-Solving Skills: The ability to independently drive technical outcomes from problem identification through to deployment is highly valued.
• Desirable Experience: While not mandatory, experience with graph-based data models, knowledge graph architecture, building internal platforms, or observability best practices for data systems would be advantageous.

In Summary:

This Senior Software Engineer II position presents an exciting opportunity for experienced data engineers to make a significant impact within a leading information and analytics company. If you are passionate about leveraging data and AI to advance science and health, thrive in a collaborative and innovative environment, and seek a role that offers both technical challenges and personal growth, this position at Elsevier is worth serious consideration for your career path.