Data Engineer / BI Developer (Power BI, Domo)

Join one of the Philippines’ fastest-growing tech companies. Open to Philippine-based candidates only.

About Us

Full Scale is a fully remote-first company that helps businesses build dedicated teams of skilled software engineers. We make finding and retaining experienced software talent easy and affordable.

About the role

We are looking for a Data Engineer / BI Developer to support a Data-as-a-Service (DaaS) platform that delivers large-scale public records and data insights. This role will focus on building and optimizing data pipelines, as well as developing dashboards and reporting solutions that enable fast, accurate, and scalable data access for both internal teams and end users.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data
• Develop and manage dashboards and reports using Power BI and Domo to support business and operational insights
• Transform and model complex datasets into actionable and user-friendly visualizations
• Ensure high data quality, consistency, and performance across data systems
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Optimize data workflows and reporting systems for speed and efficiency
• Troubleshoot and resolve data issues on time.

Requirements

• Strong experience in Data Engineering, including ETL processes, data pipelines, and data modeling
• Hands-on experience with Power BI and Domo
• Proficiency in SQL and experience working with large-scale datasets
• Solid understanding of data warehousing concepts and architecture
• Experience in handling high-volume, data-intensive environments
• Strong analytical and problem-solving skills
• Good communication skills and ability to work with both technical and non-technical stakeholders

Benefits

Why Join Us

• Fully remote – work from anywhere in the Philippines
• Collaborative, high-performing engineering culture
• Work on scalable, real-world systems with modern architecture