Data Operations Specialist

2X; Philippines; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work setup

US shift support

Job summary

2X Philippines is seeking a Data Operations Specialist in Ortigas East Pasig. The role links marketing data sources with analytics solutions, turning raw data into trusted products for analysts and stakeholders.

You'll work with cloud data warehouses, Python, and modern transformation frameworks like dbt or Dataform, with exposure to AI-enabled analytics a plus.

Qualifications

• 3+ years in analytics engineering, data engineering, or related hands-on data role.
• Bachelor’s degree in IT/Engineering/Data Analytics or equivalent experience.
• Advanced SQL skills for reusable transformations and data models.
• Strong Python for data integration, APIs, and automation.

Responsibilities

• Design, build, and support data pipelines, warehouses, and data models.
• Ingest data from marketing, CRM, advertising, and other systems.
• Develop API-based data extraction with auth, pagination, and loading to cloud warehouse.
• Create modular SQL transformations with dbt or Dataform.
• Use Python for API integration, validation, and automation workflows.
• Translate business requirements into scalable data designs and models.
• Design dimensional models, facts, and data marts for analytics.
• Implement data quality checks, tests, docs, and monitoring.
• Apply Git workflows to production data transformations.

Skills

Advanced SQL

Python

REST API data extraction

dbt

Dataform

GCP / BigQuery

ETL pipelines

Git / version control

Data quality & testing

Marketing/CRM data knowledge

English communication

Education

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

Tools

Stitch

Fivetran

dbt

Dataform

Job description

Group Company: 2X Philippines

Designation: Data Operations Specialist

Office Location: Ortigas East Pasig (Office)

Position description: The Data Operations Specialist serves as a crucial link between marketing data sources and the analytics solutions that depend on them. The role requires the ability to understand different data structures and design reliable data ingestion, transformation, modelling and storage solutions that turn raw marketing data into trusted, reusable data products for analysts and business stakeholders.

The role also requires hands‑on experience working with cloud data warehouses, APIs, Python and modern transformation frameworks such as dbt or Dataform. Exposure to building AI‑enabled data or analytics solutions is an advantage.

Primary Responsibilities

• Design, develop, and support reliable data pipelines, warehouses, data models, and reusable data products to support marketing performance analysis and reporting.
• Build and maintain data ingestion from marketing, CRM, advertising and other business systems using managed connectors where appropriate.
• Develop custom API-based data extraction when managed connectors are unavailable or insufficient, including authentication, pagination, incremental extraction, error handling and loading data into the cloud data warehouse.
• Develop and maintain modular SQL transformation workflows using dbt, Dataform, or equivalent transformation frameworks.
• Use Python for API integration, data processing, validation, automation and reusable data‑engineering workflows
• Translate business and reporting requirements into scalable technical designs and reusable data models.
• Design and maintain dimensional models, facts, dimensions and analytical data marts.
• Implement data‑quality checks, testing, documentation and monitoring to ensure production data products remain reliable.
• Use Git and code‑review practices to manage changes to production data transformations and engineering workflows.

Required Qualifications

• 3+ years of experience in analytics engineering, data engineering, data operations, or a related hands‑on data role.
• Bachelor’s degree in Information Technology, Engineering, Data Analytics, or a related discipline/ equivalent practical experience.
• Advanced SQL skills to build and optimize reusable transformations, facts, dimensions, and analytical data models.
• Strong hands‑on Python skills for data integration, API interaction, data processing, validation, and automation.
• Hands‑on experience extracting and processing data from REST APIs, including authentication, pagination, JSON responses, and error handling.
• Hands‑on experience with dbt, Dataform, or an equivalent SQL‑based transformation framework, including modular modelling, dependency management, testing, and version‑controlled development.
• Hands‑on experience with GCP and BigQuery, including working with cloud‑based datasets, transformations, and analytical data models.
• Experience with managed ingestion tools such as Stitch, Fivetran, or equivalent for extracting and loading data from source systems.
• Experience working with marketing, CRM, and marketing‑automation platforms such as Salesforce, HubSpot, Marketo, Pardot, or equivalent, with an understanding of their underlying data structures.
• Strong knowledge of schema design and dimensional data modelling.
• Working knowledge of Git and code‑review workflows for managing changes to production data solutions.
• Strong understanding of data‑quality, testing, documentation, monitoring, and other modern data‑engineering practices required to maintain reliable production data products.
• Proven experience translating business and reporting requirements into scalable technical data solutions.
• Strong command of English and comfortable participating in client‑facing meetings with US stakeholders.
• Excellent writing, communication and presentation skills.
• Amenable to Hybrid set‑up and US shift schedule.