Data Engineer
We're looking for a Data Engineer focused on designing and building scalable technical solutions. This senior role requires 5+ years of relevant experience.
Make messy data decision-ready. Profile, cleanse, reconcile, and document datasets so insights are reliable—even when the inputs are noisy.
Support new, “tip-of-the-spear” apps. Work with the application team to define the right data ingredients, stand up thin-slice pipelines, and validate results.
Move fast—carefully. Turn vague asks into testable hypotheses, build the analysis or dashboard, and ship quick iterations with attention to detail.
Guard data quality. Set up checks, audits, and alerts; track issues to closure and raise the bar on definitions, lineage, and reproducibility.
Automate the repetitive. Use SQL/Python (plus Airflow/Prefect/dbt or similar) to turn one-off analyses into lightweight, maintainable workflows.
Tell the story. Present findings with clear business context; highlight signal vs. noise, trade-offs, and recommended next steps.
Partner across functions. Collaborate with product, engineering, and client teams to ensure what we build solves real problems.
Utilize AI to improve business functions. Apart from automation, work with AI during project delivery and data mining
Requirements
Minimum 5+ years of experience in Data Analytics, Data Engineering, or similar roles (Mid–Senior level)
Advanced SQL (Non-Negotiable) – must be comfortable writing complex queries
Strong Python experience for data analysis, automation, or data pipelines
Experience working with Big Data technologies (Hadoop ecosystem)
Experience building or supporting data pipelines
Familiarity with Airflow or similar workflow orchestration tools
Experience working with large or messy datasets (data cleansing, validation, etc.)
Ability to automate data processes instead of doing one-off analysis
Strong communication skills and ability to explain insights clearly
Comfortable working with cross-functional teams
Nice to Have
Exposure to AI or AI-related data projects
Experience with modern data platforms (Snowflake, BigQuery, Databricks, Athena, etc.)
Benefits
Competitive Salary Package:Receive a pay package that matches your skills and experience.
Vacation and Sick Leave credits:Enjoy vacation and sick leave credits to maintain work-life balance.
Health Coverage:Get medical, dental, and vision insurance for you and your dependents.
Government-Mandated Benefits:Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.
Learning Opportunities:Access training, certifications, and mentorship to grow your career.
Team Engagement:Join team-building activities and wellness programs.
Modern Tools:Use the latest technology to excel in your role.
Career Growth:Clear paths for promotion and professional development.
Inclusive Culture:Be part of a diverse, supportive, and collaborative global team.Referral Rewards:Earn bon
Posted June 26, 2026