BairesDev
Brazil
Senior Business Intelligence Engineer – Python, Power BI & Data Modeling
- DAX
- Devops
- ETL
- Pandas
AI Summary
Builds and owns a greenfield data platform, including warehousing, ETL/ELT pipelines, and product analytics foundations. Focuses on transforming fragmented data into reliable, AI-agent-accessible systems for self-service analytics and automated decision-making. Requires deep expertise in data architecture, SQL/Python, and modern data tools like Snowflake, dbt, and Airflow.
Key Responsibilities
Design and implement data warehousing, ingestion pipelines, and ETL/ELT architectures from scratch
Create AI-agent-accessible data foundations with reliable, well-documented datasets and interfaces
Transform fragmented operational/product data into consistent, high-quality sources of truth
Enable self-service analytics for engineering, product, and business teams
Establish product analytics infrastructure including event tracking, instrumentation, and reporting
Automate data operations using AI coding agents for pipeline development, validation, and monitoring
Build scalable, reliable data systems with observability, governance, and data quality standards
Mentor engineers and establish strong data engineering practices
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Technical Skills Required
Benefits & Perks
Base salary of $200,000–$260,000
Equity compensation
Performance-based bonuses
Up to 100% health-insurance premium reimbursement
Paid time off
401(k) plan with company match
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Nice to Have
Founding/early Data Engineer experience building a company's first data platform
Experience designing data systems for AI-powered applications or autonomous agents
Experience with semantic layers, data discovery systems, or structured AI-accessible interfaces
Automation of data pipeline development, validation, or maintenance using AI agents
Avoiding overengineering while building long-term data foundations
Job Description
This is a Staff-level, hands-on engineering role for someone who has built data infrastructure from zero to production and knows how to turn fragmented operational data into reliable, accessible, and actionable systems.
You'll own the architecture and implementation of our data warehouse, ingestion pipelines, transformations, and product analytics foundations. We're building an AI-native organization where both humans and autonomous agents need access to trustworthy, well-structured data. You'll design the systems that make this possible, enabling self-service analytics, automated decision-making, and increasingly intelligent workflows across the company.
What You'll Do
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