Data Engineering Specialist

PJ Lhuillier Group of Companies

Makati

On-site

PHP 300,000 - 540,000

Full time

10 days ago

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Job summary

PJ Lhuillier Group of Companies is seeking a Data Engineering Specialist to design, develop, implement, and maintain BI modules and data infrastructure solutions. The role collaborates with business units, IT, and vendors to ensure reliable data, accurate reporting, and ongoing platform improvements.

The successful candidate will monitor performance, ensure secure data access, and contribute to data quality initiatives while aligning with BI architecture standards and industry best practices.

Qualifications

  • Bachelor's Degree in CS/IT/CE/IS or related field.
  • 6 months to 1 year in data engineering, BI, systems analysis, or software development.
  • Experience with databases, data warehousing concepts, and ETL processes.
  • Familiarity with BI and reporting tools is an advantage.
  • Knowledge of Agile or SDLC methodologies.
  • Experience documenting business requirements and workflows is preferred.

Responsibilities

  • Monitor BIM and data infrastructure performance.
  • Ensure BIMs meet service levels and secure data access.
  • Identify how to improve data quality, reliability and performance.
  • Collaborate with users, IT, and vendors to analyze data needs.
  • Assist in planning, execution, and monitoring of data projects.
  • Support development, testing, deployment of BIMs.
  • Prepare and maintain specs, flows, and documentation.
  • Ensure BIMs align with BI architecture standards.
  • Research new data engineering and BI technologies and best practices.
  • Participate in meetings, workshops and training.

Skills

Data engineering
Business intelligence
Systems analysis
Software development
Agile methodologies

Education

Bachelor's Degree in CS/IT/CE/IS

Job description

We are looking for a Data Engineering Specialist to support the design, development, implementation, and maintenance of Business Intelligence Modules (BIMs) and data infrastructure solutions. The successful candidate will work closely with business units, IT teams, and external vendors to ensure reliable data availability, reporting accuracy, and continuous improvement of data platforms and analytics solutions.

Key Responsibilities:
  • Monitor and report the performance of Business Intelligence Modules (BIMs) and data infrastructure resources.
  • Provide technical assistance to ensure BIMs meet service level requirements and that data is securely accessed by authorized users only.
  • Identify and recommend process and system improvements to enhance data quality, reliability, and performance.
  • Collaborate with business users, IT teams, and vendors to gather and analyze data requirements.
  • Assist in the planning, execution, and progress monitoring of data engineering initiatives and projects.
  • Support the development, testing, implementation, and deployment of Business Intelligence Modules.
  • Prepare and maintain functional specifications, process flows, and technical documentation.
  • Ensure BIMs comply with established Business Intelligence and Analytics Architecture standards and guidelines.
  • Conduct research on emerging technologies, tools, and best practices in data engineering, business intelligence, and analytics.
  • Participate actively in meetings, workshops, training programs, and professional development activities.
  • Perform other related duties as assigned.
Qualifications:
  • Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, Information Systems, Data Analytics, or a related field.
  • At least 6 months to 1 yearn data engineering, business intelligence, systems analysis, or software development.
  • Experience working with databases, data warehousing concepts, and ETL processes.
  • Familiarity with business intelligence and reporting tools is an advantage.
  • Knowledge of system development methodologies such as Agile or SDLC.
  • Experience in documenting business requirements, functional specifications, and process workflows is preferred.
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