Are you motivated by collaborating with cross‑functional teams to solve real business problems using modern cloud‑based data technologies?

Do you enjoy designing scalable data pipelines that turn complex data into reliable insights used across an organization?

About Us:

Working in data engineering at Elsevier means your work truly matters — it powers the insights that drive healthcare, education, and scientific discovery. As a Senior Data Engineer, you’ll help build the foundation for data-driven decision making across the organization, collaborating with teams to deliver scalable, secure, and reliable data solutions.

About the Team:

We are a collaborative, forward-thinking data engineering team focused on building modern cloud-based data platforms and pipelines. Our work spans Python, SQL, Snowflake, AWS, Airflow, and other cutting-edge technologies. We take pride in delivering robust architectures, implementing DataOps best practices, and mentoring others. We work closely with business partners in the U.S., and time zone overlap is key to our success.




This role supports long-term strategic goals, transitioning from contractor-led efforts to full-time ownership that strengthens our internal capabilities and ensures sustainable growth.

About the Role:

We are seeking a Senior Data Engineer who enjoys working in collaborative, inclusive environments and building scalable, reliable data solutions. In this role, you will design and maintain data architectures, develop ETL/ELT pipelines, and apply DataOps practices to support business needs. You will work closely with partners across teams to translate requirements into technical solutions and support the growth of other engineers through mentorship and knowledge sharing.

Responsibilities:

Design, build, and maintain scalable data pipelines using Python, Snowflake, AWS Glue, Airflow, or comparable technologies.
Develop and optimize ETL and ELT workflows to ingest, transform, and deliver data from multiple source

📌 Senior Data Engineer – DataOps (Ciudad de México)
🏢 Elsevier México
📍 Ciudad de México