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Data Engineer (Industrial)

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Onsite

Data Engineer (Industrial)

Global Staff Recruitment Search Inc.

Data Engineer (Industrial)

Skills

SQL QueriesData EngineeringTableauPythonData ScienceData VisualizationData AnalysisProcess ImprovementPower BI

7 days ago

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Important information


Contract type:

Permanent

Location:

City of Santa Rosa, Laguna, Philippines

Work mode:

Onsite

Published on:

21 October 2026

What they need


Job Summary

The Data Engineer (Industrial) is responsible for collecting, processing, analyzing, and maintaining industrial and operational data to support process improvement, production efficiency, and data-driven decision-making. The role involves developing data pipelines, managing databases, and collaborating with engineering and operations teams to ensure data accuracy, reliability, and accessibility.

Duties and Responsibilities

  • Collect, consolidate, and process data from industrial equipment, production systems, and operational databases.
  • Develop, maintain, and optimize data pipelines for efficient data collection and processing.
  • Analyze industrial and production data to identify trends, inefficiencies, and opportunities for improvement.
  • Design and maintain databases, data warehouses, and data integration systems.
  • Ensure data quality, consistency, accuracy, and security.
  • Collaborate with engineering, IT, and operations teams to support process optimization and operational reporting.
  • Create dashboards, reports, and data visualizations to monitor key performance indicators (KPIs).
  • Automate data processing and reporting tasks using appropriate programming and analytics tools.
  • Troubleshoot data-related issues and recommend solutions to improve system performance.
  • Perform other related duties as assigned by the immediate supervisor.

Qualifications

  • Bachelor’s degree in Industrial Engineering, Computer Science, Information Technology, Data Science, or a related field.
  • Experience in data engineering, data analytics, industrial operations, or a related role is an advantage.
  • Knowledge of SQL, Python, and database management systems.
  • Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
  • Understanding of data integration, ETL processes, and data pipeline development.
  • Knowledge of industrial processes, manufacturing systems, or production data is preferred.
  • Strong analytical, problem-solving, and organizational skills.
  • Good communication skills and the ability to work collaboratively with different teams.
  • Willingness to learn new technologies and adapt to changing operational requirements.

Pay: Php16,000.00 - Php17,000.00 per month

Work Location: In person

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