Marketing Data Engineer — Pipelines, AI-Enabled Analytics

2X; Metro Manila; Hybrid; PHP 600,000 - 1,000,000; Full time

Job summary

2X is seeking a Data Operations Specialist to connect marketing data sources with analytics solutions. You will design and maintain reliable data ingestion, transformation, and storage to produce trusted data products for analysts and stakeholders.

The role emphasizes hands‑on experience with cloud data warehouses, APIs, Python and modern transformation frameworks such as dbt or Dataform, with AI‑enabled analytics as a beneficial edge.

Qualifications

• 3+ years in analytics engineering, data engineering, data operations, or related hands‑on data role.
• Bachelor’s degree in Information Technology, Engineering, Data Analytics, or related discipline.
• Advanced SQL skills for reusable transformations and data models.
• Strong Python skills for data integration, API interaction, and automation.
• Experience with REST APIs, authentication, pagination, and JSON handling.

Responsibilities

• Design, develop, and support data pipelines, warehouses, data models and reusable data products for marketing analytics.
• Ingest data from marketing, CRM, advertising using managed connectors where available.
• Develop API‑based data extraction with authentication, pagination and incremental loading.
• Maintain modular SQL transformations using dbt, Dataform, or equivalent.
• Use Python for API integration, data processing, validation, automation and workflows.
• Translate business requirements into scalable data models and dimensional data marts.

Skills

Analytics engineering

Data engineering

Data operations

SQL

Python

REST APIs

dbt/Dataform

GCP/BigQuery

Data quality

Git

Stakeholder collaboration

English communication

Education

Bachelor’s degree in IT/Engineering/Data Analytics

Tools

Stitch

Fivetran

dbt

Dataform

Looker Studio

Power BI

Tableau

BigQuery

Git

Job description

2X is seeking a Data Operations Specialist to connect marketing data sources with analytics solutions. You will design and maintain reliable data ingestion, transformation, and storage to produce trusted data products for analysts and stakeholders.

The role emphasizes hands‑on experience with cloud data warehouses, APIs, Python and modern transformation frameworks such as dbt or Dataform, with AI‑enabled analytics as a beneficial edge.