Why Join Us?

We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions and AI agents. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.

Key Responsibilities

As a BI Developer, You Will Be Responsible For

• End-to-End Solutions: Design, build, and maintain easy-to-use data solutions. This includes orchestration, data modeling, dashboards, building data agents, monitoring, alerting, and experimentation models.
• AI Integration: Actively use AI tools to accelerate development—from writing optimized SQL and automating repetitive tasks to building intelligent agents.
• Collaboration: Work effectively with cross-department stakeholders to capture analytical requirements and translate them into technical reality.
• Insights: Analyze complex datasets to provide useful, actionable recommendations that drive business value.
  
  

Qualifications

• SQL & Python: Full proficiency in SQL (5+ years) manipulating large, complex, semi-structured datasets, and at least 3 years of practical Python experience.
• DBT: Hands-on experience with dbt for data transformation; experience with dbt Core is a significant advantage.
• Data Architecture & Ecosystems: Deep understanding of BI methodologies and experience with decoupled/distributed architectures and file-based systems (e.g., Athena, S3), and data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Data Visualization: At least 2 years of experience developing visualizations in Power BI (including DAX). Must have solid data storytelling skills and the ability to translate business processes into actionable dashboards.
• AI Fluency: Demonstrated ability to leverage AI tools to speed up coding, automate workflows, and enhance data delivery.
• Education: BSc in Computer Science, Mathematics, Industrial Engineering, or equivalent academic knowledge.