Cebu-Based Data Warehouse Engineer | ELT & BI Innovator

AMCS Group; Cebu City; Vor Ort; PHP 700.000 - 1.100.000; Vollzeit

Benefits dieser Stelle

Health insurance covering dependents

Additional allowances

Learning & development platform

25 days annual leave

International collaboration

Zusammenfassung

Quentic, a premier SaaS provider for EHS and sustainability management, is seeking a Data Warehouse Engineer (m/f/d) in Cebu City, Philippines. The role focuses on building data warehouse structures, developing ELT pipelines and ensuring data quality to enable reliable reporting and analytics.

We value 2+ years in data engineering or BI, strong SQL, data modelling, and experience with ETL/ELT; DBT is a plus. English is essential for global collaboration, with a daily overlap for CET hours.

Qualifikationen

• 2+ years in data engineering, BI, analytics engineering, data warehousing, or related roles.
• Strong SQL skills; experience with data modelling and warehouses; familiarity with BI platforms.

Aufgaben

• Design, build and maintain data warehouse structures, semantic models and trusted datasets as a reliable single source of truth.
• Develop and optimise data pipelines, ELT processes and automated data transformations for reporting.
• Ensure data quality, consistency, documentation, lineage, and access controls across analytics solutions.
• Monitor, troubleshoot and improve reporting processes, data pipelines and BI performance.
• Contribute ideas for modern BI and data engineering in an international tech environment.
• Use AI tools responsibly to improve quality and efficiency, with owner-ship of output.

Kenntnisse

SQL

Data modelling

Data warehousing

BI platforms

ETL/ELT

dbt

Power BI

Tools

dbt

Jobbeschreibung

Quentic, a premier SaaS provider for EHS and sustainability management, is seeking a Data Warehouse Engineer (m/f/d) in Cebu City, Philippines. The role focuses on building data warehouse structures, developing ELT pipelines and ensuring data quality to enable reliable reporting and analytics.

We value 2+ years in data engineering or BI, strong SQL, data modelling, and experience with ETL/ELT; DBT is a plus. English is essential for global collaboration, with a daily overlap for CET hours.