Job Description
Job Summary
Are you a Systems Engineer looking for an innovative role
Do you enjoy being part of a team that works with a diverse range of technology
About our Team:
Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. We support health providers by providing accessible, trusted evidence-based information; prepare more medical and nursing students with effective tools and resources; provide insights that help clinicians improve patient outcomes; and supports a more personalized and localized healthcare experience. All for the benefit of every patient.
his role sits within the Sales Marketing Data Analytics team, part of the wider Digital Business Solutions (DBS) group. Our team provides the analytical foundations that drive two of Elseviers most revenue-critical functions: sales performance and marketing effectiveness.
On the Sales side, accurate and timely reporting is critical to incentivising and guiding our global sales force. The team supports two data warehouses:
- Opportunities - analytics on salesperson pipeline, actual sales, and quota
- Agreements - analytics on sales agreements and renewals
On the Marketing side, the team maintains a Contacts data warehouse that enables global marketing teams to design effective marketing campaigns with the desired segmentation for the business area and product they want to focus.
You will work closely with product owners, database architects, and data analysts across both domains on new and existing data initiatives, collaborating with local and global colleagues.
About the Role
As a Software Engineer III at Elsevier, you will be instrumental in our mission to help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. You will design, build, and maintain high-quality data pipelines and analytical solutions that power insights for our global sales and marketing teams - enabling them to make the right research products available to our customers in academia, research, and healthcare.
Your success will be measured by the reliability, performance, and business impact of the data solutions you deliver, and by your ability to elevate the engineering quality of the team around you.
Responsibilities
- Collaborate with product owners and analysts to translate business requirements into technical solutions
- Design, build, and maintain robust data pipelines and transformations in Snowflake and DBT
- Develop and uphold data modelling best practices, ensuring scalability and maintainability
- Participate in code reviews, providing constructive, high-quality feedback
- Identify and resolve performance bottlenecks, data quality issues, and reliability gaps
- Stay current with evolving technologies - including AI and LLMs - and assess their applicability to team challenges
Requirements
What Were Looking For
Beyond technical skills, we value engineers who bring:
- Strong problem-solving ability - comfortable with ambiguous requirements and large, complex datasets
- Clear communication - able to explain technical concepts to both technical and non-technical stakeholders
- Collaborative mindset - builds relationships across the business and works well in cross-functional teams
- Technical ownership - takes pride in code quality, reliability, and continuous improvement
- Curiosity and growth mindset - enthusiastic about learning, including emerging technologies such as AI and LLMs
Experience Skills
Essential:
- Solid experience in data warehousing, with hands-on Snowflake and DBT expertise
- Strong SQL skills and experience in database modelling and design
- Familiarity with agile development tools such as Jira and Confluence
- Experience with CI/CD practices (preferably Jenkins or equivalent)
Desirable:
- Working knowledge of AWS cloud services and Apache Airflow
- Experience with infrastructure-as-code, particularly Terraform
- Programming experience in Python and/or Java
- Exposure to AI/ML tooling or LLM-based solutions