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.

Senior Data Engineer (Azure Databricks) at BairesDev

As a Senior Data Engineer (Azure Databricks), you will design, build, and optimize robust data pipelines to support enterprise-scale analytics. You will serve as a key driver for modernizing our cloud data infrastructure, transforming raw datasets into reliable, high-performance data platforms.

What You'll Do

Design and implement scalable data ingestion and processing pipelines using cloud-native services.




Build and maintain efficient ETL/ELT workflows to support downstream analytics and reporting.
Optimize data architectures for cost, speed, and reliability in a distributed cloud environment.
Collaborate with cross-functional teams to translate complex business requirements into high-quality data schemas.
Ensure rigorous data governance, pipeline monitoring, and high availability across the platform.

What We Are Looking For

5+ years of experience in Data Engineering or a related field.
Proven expertise with Databricks and Azure cloud platforms.
Strong proficiency in Python and advanced SQL.
Solid experience in ETL/ELT pipeline design and workflow orchestration.
Advanced proficiency in English.

How we do make your work (and your life) easier:

100% remote work (from anywhere).
Excellent compensation in USD or your local currency if preferred
Hardware and software setup for you to work from home.
Adaptable hours: create your own schedule.
Paid parental

📌 Senior Data Engineer (Perú)
🏢 Bairesdev
📍 Perú