About the role

As a Senior Data Engineer, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. This position is for an experienced

professional who provides technical leadership to the team and directly influences how the

organization leverages data.

Responsibilities
- Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and
- process data from a wide variety of sources.
- Develop and maintain data warehousing solutions (e.g., Snowflake), including advanced RBAC models to ensure data governance.
- Architect and manage cloud-based data infrastructure.
- Orchestrate batch machine learning pipelines, working closely with data scientists to align optimizations with product requirements.
- Leverage and drive team adoption of AI coding agents, ensuring best practices are kept up to date as AI tooling advances.
- Improve performance, efficiency, and optimize the cost of existing data systems and processes.
- Collaborate with stakeholders, including data scientists, analysts,



and product managers to deliver actionable solutions.
- Work with internal software engineering teams to define architectures for data ingestion and making metrics available to production applications.
- Proactively address gaps in team standards, SLAs, operating principles, and documentation.
- Be a leader, mentor, and subject matter expert for the team and peers.
- Take part in an on-call rotation and lead incident management with clear communication.

Requirements

Must have
- 5+ years of experience in data engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
- Expert proficiency in SQL and strong programming skills in Python.
- Proven experience building and orchestrating data pipelines using dbt and Airflow.
- Solid understanding of event-driven architecture and messaging systems, real-time streaming data, like website cli

📌 Senior Data Engineer (Área metropolitana del Valle de Aburrá)
🏢 Team International
📍 Área metropolitana del Valle de Aburrá