
Data Engineer
2 days ago
APAC and US Human Resource and Recruitment Professional
This Data Engineer position will be part of a full-service marketing execution company helping brands streamline and scale their go-to-market programs. We help deliver creative solutions, technology, and fulfillment services to bring our clients’ strategies to life.
As the company grows their Data & Analytics function, we’re looking for a pragmatic, hands-on Data Engineer who can design the big picture while also building the plumbing that keeps our data flowing.
- Location : Philippines (100% Work from home)
- Work Set-up : Independent Contracting Position, Full Time
- Work Schedule : Night Shift - Monday to Friday 8:00AM to 5:00PM CST
- Start Date : Immediate
- Salary and benefits : Competitive monthly fee (in Philippine pesos). Negotiable based on experience
This is a hybrid role — part Data Engineer, part Data Architect. You’ll spend most of your time building, maintaining, and optimizing data pipelines, but you’ll also be responsible for shaping our data models, standards, and governance.
You’ll work closely with our Analytics Director, Reporting Analyst, and system owners across ERP, CRM, and other enterprise platforms to ensure we have a reliable, trusted, and well-structured data foundation.
What You'll Do- Design, build, and maintain scalable data pipelines to integrate ERP, CRM, warehouse, and other enterprise data sources.
- Develop and manage our enterprise data dictionary to standardize definitions across systems.
- Create and optimize SQL queries for reporting, analytics, and operational needs.
- Support data architecture needs including schema design, normalization, and governance .
- Monitor pipelines and troubleshoot issues to ensure reliable, timely data delivery.
- Collaborate with business and technical stakeholders to define standards and resolve data conflicts.
- Implement and enforce data governance best practices to build trust and consistency across reporting.
- 5+ years of hands-on experience in Data Engineering, ETL/ELT development, or Database Administration.
- Strong SQL skills (query writing, optimization, troubleshooting).
- Experience with modern data warehousing tools (e.g., Snowflake, Teradata, Informatica, DataStage, or similar).
- Knowledge of data modeling and schema design (star, snowflake, normalized).
- Experience building and maintaining ETL/ELT pipelines with monitoring and error handling.
- Familiarity with data governance concepts (standards, metadata, access control).
- Strong problem-solving skills — able to balance quick fixes with long-term design.
- Excellent communication skills to bridge business and technical teams.
- Mid-Senior level
- Full-time
- Information Technology
- Industries: Business Consulting and Services
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