BillEase
Data Engineer
Skills
12 days ago
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Important information
Contract type:
Permanent
Location:
Philippines
Work mode:
Onsite
Published on:
8 October 2026
What they need
About Us
billease offers you the easiest way to afford what you want and need today. Our brand centers around making shopping and payment processes seamless and convenient. Our customers have diverse lifestyles and are looking to enhance their shopping experiences both online and offline. It's essential for us to embody the core of our brand name billease, a combination of "bill" and "ease," pronounced bilis, which means speed or swiftness in Filipino.
Discover more about us here: https://billease.ph/about-us
Role Summary
Support data architecture, infrastructure, and reporting ecosystem. Ensure reliable data pipelines, optimize cloud performance, and deliver high-quality data to business stakeholders and BI tools.
Infrastructure & Pipelines
Maintain and optimize cloud-based data infrastructure
Build, monitor, and troubleshoot ETL pipelines
Ensure data pipeline reliability, quality, and timely delivery
Implement data governance, security, and access controls
Support infrastructure automation
Reporting & Analytics Support
Design and maintain data models and reporting marts for BI tools
Support business reporting needs and ad-hoc data requests
Optimize query performance for dashboards and reports
Maintain data documentation, dictionaries, and lineage
Required Skills
SQL: Strong proficiency in Redshift/PostgreSQL, complex queries, performance tuning
AWS: Hands-on with data-related infrastructure
ETL/Orchestration: Experience with ETL processing tools (Airflow, Kafka Connect)
Python: Data processing, automation, scripting
Data Modeling: Star schema, dimensional modeling, data warehouse concepts
BI Tools: Experience supporting Power BI, Looker, Qlik Sense, or similar
Nice to have: Docker, ClickHouse, MongoDB, Elasticsearch, data quality frameworks
Requirements
Bachelor's degree in Computer Science, IT, Engineering, or related field
2 to 4 years of experience in data engineering, infrastructure, or cloud operations
Financial services or fintech background preferred
Strong problem-solving and troubleshooting abilities
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