Senior Data Engineer I

The Academic Information Systems (AIS) DataOps team is a shared technology group responsible for building, administering, governing, and setting standards for strategic data platforms and services. Our capabilities allow data to be extracted, centralized, transformed, transmitted, and analyzed across AIS products. We strive to ensure our systems are trusted, reliable, and available, using technologies such as Snowflake, Astronomer/Airflow, Kubernetes, DBT, Tableau, Sisense, Collibra, and Kafka/Debezium. Our mission is to enable frictionless experiences for AIS colleagues and customers to securely consume trustworthy data for everyday decisions.

As a Senior Data Engineer I, you will play a key role in building secure, scalable, and reliable data infrastructure that supports global operations. You will collaborate across teams to facilitate the smooth flow of data, ensuring high-quality information is available for analysis and decision-making. Your work will help drive impactful solutions for colleagues and customers by enabling effective data sharing and storytelling.

• Design and implement robust data orchestration and transformation solutions.
• Ensure reliable delivery of high-quality data for analysis and sharing.
• Collaborate across teams to establish and promote coding and technical standards.
• Work with DevOps to automate deployments and use Infrastructure as Code (IaC) for consistent environments.
• Develop reusable frameworks, modular components, and common patterns for efficient and reliable deployment using Airflow.
• Document and share best practices, fostering knowledge exchange among teams.
• Enhance platform reliability and scalability through improved logging, monitoring, and observability.
• Identify and address data platform gaps, support DataOps initiatives, and incorporate user feedback.

• Experience with modern data stack technologies such as Airflow, Snowflake, and DBT. Relevant Tableau, Sisense, AWS, GitHub, Terraform, and/or Docker experience is also highly desirable.
• Ability to create deployable data pipelines and ETL/ELT solutions using Python, SQL, or Jinja.
• Knowledge of Software Development Life Cycle (SDLC), DataOps, and DevOps practices.
• Active participation in Agile environments and willingness to continuously improve.
• Strong communication and collaboration skills; openness to feedback and new ideas.
• Familiarity with designing secure, scalable, and cost-effective cloud-based data solutions.
• Understanding of data governance, privacy, and security practices.

We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we offer an appealing working prospect. We provide wellbeing initiatives, shared parental leave, study assistance and sabbaticals to help you meet responsibilities and goals.

• Working remotely from home or in our office in a flexible hybrid style
• 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

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment where everyone has a part to play. We promote a diverse environment with co-workers who are passionate about what they do, and how they do it.

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we offer:

• Generous holiday allowance with the option to buy additional days
• Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Long service awards
• Save As You Earn share option scheme
• Travel Season ticket loan
• Maternity, paternity and shared parental leave
• Access to emergency care for both the elderly and children
• RELX Cares days, giving you time to support charities
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts via Perks at Work

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We combine quality information and data with analytics to support science and healthcare and contribute to a sustainable future. Your work contributes to these objectives and to a better world through innovative technologies.

We are committed to providing a fair and accessible hiring process. If you have a disability or need accommodation, please let us know by contacting the support channel or number provided for accommodation requests.

We are an equal opportunity employer: qualified applicants are considered without regard to race, color, creed, religion, sex, national origin, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.