Senior Data Engineer

• 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 bonuses for bringing great talent to the team.