Data Operations Engineer — Hybrid & US Shift

2x; Eastern Manila District; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work setup

Job summary

2X Philippines is seeking a Data Operations Specialist in Ortigas East Pasig to link marketing data sources with analytics solutions. The role focuses on ingesting, transforming, and storing data to produce trusted data assets for analysts and stakeholders.

The candidate will work with cloud data warehouses, APIs, Python, and modern transformation frameworks (dbt/Dataform) with exposure to AI-enabled data analytics. A hybrid setup and US shift coordination are expected.

Qualifications

• 3+ years of analytics engineering, data engineering, data operations, or similar hands-on data role.

Responsibilities

• Design, build, and support reliable data pipelines, warehouses, data models, and reusable data products for marketing performance analysis.
• Develop data ingestion from marketing, CRM, advertising, and other systems using connectors.
• Create API-based data extraction with authentication, pagination, and incremental loading into cloud warehouses.
• Develop and maintain modular SQL transformation workflows with dbt or Dataform.
• Use Python for API integration, data processing, validation, automation, and reusable data engineering tasks.
• Translate business needs into scalable data designs and reusable models.
• Design dimensional models, facts, and analytic data marts.
• Implement data quality checks, tests, and monitoring for production data products.
• Use Git and code reviews for production data transformations.

Skills

SQL

Python

REST APIs

Data Modeling

Cloud Data Warehouses

dbt

Dataform

Git

ETL

Education

Bachelor’s degree in Information Technology, Engineering, Data Analytics

Tools

dbt

Dataform

BigQuery

Stitch/Fivetran

Job description

2X Philippines is seeking a Data Operations Specialist in Ortigas East Pasig to link marketing data sources with analytics solutions. The role focuses on ingesting, transforming, and storing data to produce trusted data assets for analysts and stakeholders.

The candidate will work with cloud data warehouses, APIs, Python, and modern transformation frameworks (dbt/Dataform) with exposure to AI-enabled data analytics. A hybrid setup and US shift coordination are expected.