{"id":3175374,"url":"https://alion.io/job/pm-consulting-data-engineer","title":"Data Engineer","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":"junior","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":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-23T19:47:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T07:24:29Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We're looking for a motivated Data Engineer to help build, maintain, and improve data pipelines and infrastructure that support data-driven products and business initiatives.\nIn this role, you'll work alongside experienced data engineers, data scientists, and cross-functional teams to ensure data is accurate, accessible, reliable, and ready for use.\nKey Responsibilities\nDevelop, deploy, and maintain data pipelines that support business use cases and product features.\nMonitor pipeline performance and reliability, troubleshoot data quality issues, and help resolve operational incidents.\nSupport data requests and pipeline incidents within agreed timelines and service-level expectations.\nImplement data validation, testing, and monitoring practices to maintain data accuracy and reliability.\nMaintain clear technical documentation and follow established development and deployment procedures.\nApply data engineering best practices, including version control, CI/CD, data governance, and observability.\nCollaborate with senior engineers and cross-functional stakeholders on data initiatives and continuous improvement.\nIdentify opportunities to enhance pipeline performance, reliability, and usability.\nQualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field, or equivalent practical experience.\n2-3 years of relevant experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical role.\nProficiency in Python, including scripting and basic data processing.\nSolid SQL skills, including querying, filtering, aggregations, and joins.\nExperience with relational databases, data warehousing, and ETL/ELT pipelines.\nHands-on experience with at least one cloud platform: AWS (preferred), GCP, or Azure.\nExperience with a data orchestration tool such as Apache Airflow, Dagster, or an equivalent platform.\nAbility to write maintainable code, document technical processes, and collaborate effectively with a team.\nWillingness to learn new technologies and continuously improve engineering 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