{"id":2378899,"url":"https://alion.io/job/pmconsulting-data-engineer-digital-intelligence","title":"Data Engineer (Digital Intelligence)","company":{"id":4421389,"name":"PM Consulting","domain":"pmconsulting.ph","url":"https://alion.io/company/pmconsulting-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mandaluyong, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":10500,"max_usd":29000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Snowflake","optional":false},{"name":"BigQuery","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Microsoft Office","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-12T18:59:17Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-17T17:57:41Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"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.\nKey Responsibilities\nData Architecture & Warehouse Management\nInfrastructure Design: Develop and standardize scalable data pipelines, create optimized database tables, and validate complex measures to streamline business efficiency.\nSystem Stewardship: Provide day-to-day maintenance and system support for the global Marketing Data Warehouse to ensure high performance and data availability.\nGovernance & Security: Oversee warehouse administration and API development while ensuring 100% compliance with corporate IT Data Security standards and protocols.\nETL Operations & Project Delivery\nEnd-to-End Execution: Lead the full project lifecycle-including planning, design, execution, testing, and deployment-for critical data management and development projects.\n Quality Engineering: Implement robust ETL (Extract, Transform, Load) processes and unified data standards to ensure consistent, high-quality technical solutions across the enterprise.\nProcess Optimization: Identify opportunities to automate manual workflows and improve the overall efficiency of data ingestion and processing.\nCross-Functional Collaboration\nRequirement Translation: Partner with multi-functional business teams to translate complex commercial requirements into scalable technical data solutions.\nAnalytics Partnership: Collaborate closely with Data Science and Analytics teams to define project scopes and provide the clean, modeled data required for advanced modeling.\nTechnical Advocacy: Effectively communicate complex data insights, architectural logic, and technical recommendations to non-technical stakeholders.\nRequirements\nExperience & Education\nProfessional Tenure: At least 3 years of direct experience in IT Data Engineering or a closely related field.\nCloud Data Platforms: Proficiency with modern enterprise data platforms such as Snowflake, Microsoft Fabric, or Databricks.\nTechnical Stack: Strong expertise in relational database modeling and languages, specifically SQL and Python.\nCore Competencies\nCommunication: Exceptional ability to explain complex data structures and technical \"black boxes\" to business leadership and stakeholders.\nLearning Agility: A proactive self-starter with a high aptitude for learning and a willingness to continuously upskill in emerging technologies.\nInterpersonal Savvy: Ability to collaborate effectively with diverse teams across all organizational levels in a global, multicultural environment.\nPreferred Qualifications\nDigital Analytics: Familiarity with Google BigQuery or similar cloud-based digital analytics tools is a significant advantage.\n Software Proficiency: Advanced knowledge of the Microsoft Office 365 suite for documentation and 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