At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Lead Data Engineer (Python) at BairesDev
As a Lead Data Engineer (Python), you will spearhead the design and optimization of robust data pipelines while guiding engineering talent to deliver high-quality data solutions. You will serve as a key technical champion, aligning complex operational requirements with scalable backend architecture.
What You'll Do:
- - Lead and mentor a team of developers, fostering technical growth and ensuring alignment with organizational goals.
- - Design, construct,



and maintain scalable ETL/ELT pipelines to automate data ingestion and transformation processes.
- - Architect and manage complex workflow orchestration systems to streamline data processing workflows.
- - Drive database optimization and efficient extraction strategies across enterprise database environments.
- - Oversee the migration and modernization of legacy data pipelines into advanced architectures.
- - Collaborate with cross-functional stakeholders to define engineering standards and technical roadmaps.

What we are looking for:
- - 5+ years of experience in Data Engineering, Python Development, or a related field.
- - Proven expertise in workflow orchestration using Temporal, Airflow, or equivalent.
- - Strong hands-on experience with SQL Server, stored procedures, and data extraction.
- - Experience with data pipeline design and migration using tools like Talend or Airflow.
- - Demonstrated ability in team mento

📌 Lead Data Engineer (Colombia)
🏢 BairesDev
📍 Colombia