Senior Data Engineer

Makati City - Philippines

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Make messy data decision-ready. Profile cleanse reconcile and document datasets so insights are reliableeven 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 fastcarefully. 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 (MidSenior 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.

Required Skills:

Data Analytics

This is a remote position. Make messy data decision-ready. Profile cleanse reconcile and document datasets so insights are reliableeven 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 ...

This is a remote position.

Make messy data decision-ready. Profile cleanse reconcile and document datasets so insights are reliableeven 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 fastcarefully. 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 (MidSenior 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.