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Open nowFirst seen 34 hours ago

Data Engineer (Digital Intelligence)

PM Consulting1,469 open roles

Where
Mandaluyong City, Metro Manila, Philippines, Metro Manila, Philippines
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Your applicationOpen nowData Engineer (Digital Intelligence)PM Consulting · Mandaluyong City, Metro Manila, Philippines, Metro Manila, Philippines

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PM Consulting's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. PM Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

PM Consulting median: 1 days open

The posting

As a Data Engineer within the Digital Intelligence unit, you will serve as a key technical representative in leveraging data and technology to drive organizational growth and enable high-velocity decision-making. You will apply your engineering expertise to design, build, and maintain a robust Marketing Data Warehouse that serves as the primary engine for Digital Customer Experience, Integrated Marketing, and Commercial Excellence initiatives.

Key Responsibilities

Data Architecture & Warehouse Management

  • Infrastructure Design: Develop and standardize scalable data pipelines, create optimized database tables, and validate complex measures to streamline business efficiency.
  • System Stewardship: Provide day-to-day maintenance and system support for the global Marketing Data Warehouse to ensure high performance and data availability.
  • Governance & Security: Oversee warehouse administration and API development while ensuring 100% compliance with corporate IT Data Security standards and protocols.

ETL Operations & Project Delivery

  • End-to-End Execution: Lead the full project lifecycle—including planning, design, execution, testing, and deployment—for critical data management and development projects.
  • Quality Engineering: Implement robust ETL (Extract, Transform, Load) processes and unified data standards to ensure consistent, high-quality technical solutions across the enterprise.
  • Process Optimization: Identify opportunities to automate manual workflows and improve the overall efficiency of data ingestion and processing.

Cross-Functional Collaboration

  • Requirement Translation: Partner with multi-functional business teams to translate complex commercial requirements into scalable technical data solutions.
  • Analytics Partnership: Collaborate closely with Data Science and Analytics teams to define project scopes and provide the clean, modeled data required for advanced modeling.
  • Technical Advocacy: Effectively communicate complex data insights, architectural logic, and technical recommendations to non-technical stakeholders.

Requirements

Experience & Education

  • Professional Tenure: At least 3 years of direct experience in IT Data Engineering or a closely related field.
  • Cloud Data Platforms: Proficiency with modern enterprise data platforms such as Snowflake, Microsoft Fabric, or Databricks.
  • Technical Stack: Strong expertise in relational database modeling and languages, specifically SQL and Python.

Core Competencies

  • Communication: Exceptional ability to explain complex data structures and technical "black boxes" to business leadership and stakeholders.
  • Learning Agility: A proactive self-starter with a high aptitude for learning and a willingness to continuously upskill in emerging technologies.
  • Interpersonal Savvy: Ability to collaborate effectively with diverse teams across all organizational levels in a global, multicultural environment.

Preferred Qualifications

  • Digital Analytics: Familiarity with Google BigQuery or similar cloud-based digital analytics tools is a significant advantage.
  • Software Proficiency: Advanced knowledge of the Microsoft Office 365 suite for documentation and reporting.
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