Data Engineer | Hybrid

Rising Tide Digital, Inc.; Mandaluyong; Sur place; PHP 700 000 - 1 100 000; Plein temps

Résumé du poste

Rising Tide Digital, Inc. is seeking a Data Engineer to build and maintain data systems that support reporting, analytics, and business operations. You will ensure data is reliable, organized, and easy to access for teams across the company.

The role emphasizes data pipelines, quality, governance, and collaboration with analysts and business teams to deliver clean datasets for dashboards and reports.

Qualifications

• Strong problem-solving and analytical skills.
• Bachelor’s degree in a relevant field is required.
• Experience with SQL, data visualization tools, and ETL/ELT processes is expected.

Responsabilités

• Build and maintain data pipelines for collecting, processing, and storing data.
• Integrate data from different internal and external sources.
• Manage data warehouses and data storage solutions.
• Monitor and improve system performance and efficiency.
• Ensure data is accurate, complete, and consistent.
• Monitor data pipelines and fix issues when they arise.
• Set up checks to maintain data quality.
• Work with analysts, data scientists, and business teams to understand data needs.
• Provide clean and ready-to-use datasets for reports and dashboards.
• Follow data privacy and security standards.
• Apply access controls and protect sensitive data.
• Document data processes, workflows, and systems.
• Automate tasks to improve efficiency and reduce errors.
• Stay updated with new data tools and technologies.
• Suggest improvements to data systems and processes.

Connaissances

Strong problem-solving

Analytical skills

Communication

Formation

Bachelor’s degree in CS/Statistics/Math/Economics or related field

Outils

SQL

Tableau

Power BI

ETL/ELT

Data warehouses

Description du poste

Job Summary

We are looking for a Data Engineer to build and maintain data systems that support reporting, analytics, and business operations. You will ensure data is reliable, organized, and easy to access for teams across the company.

Key Responsibilities

Data Pipeline Development

• Build and maintain data pipelines for collecting, processing, and storing data

• Integrate data from different internal and external sources

• Manage data warehouses and data storage solutions

• Monitor and improve system performance and efficiency

Data Quality & Reliability

• Ensure data is accurate, complete, and consistent

• Monitor data pipelines and fix issues when they arise

• Set up checks to maintain data quality

Collaboration & Reporting Support

• Work with analysts, data scientists, and business teams to understand data needs

• Provide clean and ready-to-use datasets for reports and dashboards

Data Security & Governance

• Follow data privacy and security standards

• Apply access controls and protect sensitive data

• Help maintain proper documentation and data tracking

Documentation & Automation

• Document data processes, workflows, and systems

• Automate tasks to improve efficiency and reduce errors

Continuous Improvement

• Stay updated with new data tools and technologies

• Suggest improvements to data systems and processes

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field

• 3–5 years of experience in Data Engineering or Data Analysis

• Experience with data pipelines, data warehouses, and ETL/ELT processes

• Familiarity with SQL and databases

• Exposure to data visualization tools (e.g., Tableau, Power BI)

• Strong problem-solving and analytical skills