Senior Data & BI Engineer

ECLARO; Quezon City; On-site; PHP 1,100,000 - 1,700,000; Full time

Job summary

ECLARO is seeking a Data & BI Engineer to own end-to-end data lifecycle, from source extraction to analytics delivery. You will develop scalable Power BI models and dashboards, implement ETL/ELT pipelines, and collaborate with Finance, HR, Marketing, and Operations to drive data-driven decisions.

The role blends data engineering, database development, Python automation, and analytics consulting within an Azure/Microsoft 365 environment, with emphasis on data quality and scalable solutions.

Qualifications

• 5+ years of experience in data analytics, BI development, or data engineering.
• Hands-on experience building Power BI reports, dashboards, and semantic models.
• Strong SQL skills with query optimization and data modeling capabilities.
• Experience integrating data from multiple sources via ETL/ELT processes.
• Proficiency in Python for automation and data processing.
• Familiarity with Microsoft Azure and Microsoft 365 environments.
• Ability to translate business needs into technical specifications and KPIs.

Responsibilities

• Design, develop, and maintain automated ETL/ELT pipelines from multiple sources.
• Build and optimize Power BI datasets, models, and dashboards for stakeholders.
• Design MySQL database structures and optimize queries for reporting.
• Develop Python automation scripts for data processing and integration tasks.
• Collaborate with business units to define KPIs and reporting standards.
• Monitor data quality, performance, and governance across platforms.
• Support Azure-based data services, security, and deployment practices.

Skills

Power BI

SQL

Python

ETL/ELT

Data modeling

Azure

REST APIs

Linux

Education

Bachelor's degree or higher in CS/Engineering/IT

Tools

MySQL

Power BI Service

Power BI Desktop

SQL Server/Azure SQL

Job description

ECLARO is seeking a Data & BI Engineer to own end-to-end data lifecycle, from source extraction to analytics delivery. You will develop scalable Power BI models and dashboards, implement ETL/ELT pipelines, and collaborate with Finance, HR, Marketing, and Operations to drive data-driven decisions.

The role blends data engineering, database development, Python automation, and analytics consulting within an Azure/Microsoft 365 environment, with emphasis on data quality and scalable solutions.