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Data Engineer

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Onsite

Data Engineer

BillEase

Data Engineer

Skills

SQL QueriesLookerMongoDBData EngineeringDockerPythonPostgreSQLKafkaData AnalysisAWSElasticsearchApache AirflowPower BI

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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