Master Data Coordinator III

Regal Rexnord; Manila; Hybrid; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Regal Rexnord is seeking a Data Engineer to help build and maintain data pipelines, support MDM and data quality activities, and enable trusted data delivery for reporting and analytics.

You will work with Databricks, SQL, Python, and cloud platforms to support data modeling, warehousing, and BI initiatives across business units. Fresh graduates are welcome to apply in a hybrid onsite role.

Qualifications

• Bachelor’s degree in a technical discipline is required or equivalent.
• Fresh graduates are encouraged to apply; internship/academic projects in databases or cloud tech are a plus.
• Familiarity with data governance, MDM, data quality, and BI reporting is desirable.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Support data integration from multiple enterprise systems and sources.
• Assist in data modeling, warehousing, and analytics initiatives.
• Collaborate with analytics teams and stakeholders to meet reporting needs.

Skills

Data pipeline development

ETL

SQL

Python

Cloud platforms

MDM & Data Quality governance

Data analytics

Collaboration

Education

Bachelor’s Degree in Computer Science/Data Science/IT/Engineering

Tools

Databricks

Azure

AWS

Spark

Power BI/Tableau

Job description

Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location, with flexibility to work remotely.

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Position Summary:

As data becomes increasingly critical to operational efficiency, business intelligence, and digital transformation, the Data Engineer plays an important role in supporting initiatives that enhance the quality, governance, integration, and accessibility of enterprise data across the organization. This role supports the Data Services team by developing and maintaining data pipelines, supporting Master Data Management (MDM) and Data Quality (DQ) processes, and enabling trusted data delivery for reporting, analytics, and business operations.

Working closely with data engineers, architects, business stakeholders, and analytics teams, the Data Engineer helps ensure that customer, supplier, item, and other critical master data assets are accurate, consistent, and available across enterprise platforms. This position provides an excellent opportunity for recent graduates to gain hands‑on experience with modern data technologies, cloud platforms, data governance practices, and enterprise data management solutions while contributing to initiatives that improve data‑driven decision‑making throughout the organization.

Key Responsibilities

Data Engineering & Integration

• Assist in developing, testing, and maintaining data pipelines and ETL processes.
• Support data integration activities from multiple enterprise systems and data sources.
• Help monitor and troubleshoot data processing jobs to ensure reliability and performance.
• Participate in data migration, validation, and reconciliation activities.

Master Data Management (MDM)

• Support the maintenance and enhancement of enterprise master data models.
• Assist in data quality analysis, data cleansing, and governance activities.
• Help document business rules, data definitions, and master data standards.
• Participate in data stewardship initiatives to improve data consistency and accuracy across systems.

Data Modeling & Analytics

• Assist in creating conceptual, logical, and physical data models under the guidance of senior team members.
• Support data warehousing and business intelligence initiatives.
• Collaborate with stakeholders to understand reporting and analytics requirements.
• Help create documentation, process diagrams, and data flow mappings.

Cloud & Modern Data Platforms

• Support development activities within Databricks and cloud-based data environments.
• Learn and apply technologies such as Apache Spark, Delta Lake, SQL, and Python.
• Participate in CI/CD, DevOps, and automation initiatives related to data engineering solutions.

Collaboration & Continuous Improvement

• Work closely with MDM, Data Quality, Integration, and Analytics teams.
• Participate in Agile ceremonies, sprint planning, and team discussions.
• Contribute ideas to improve data processes, automation, and operational efficiency.
• Stay current with emerging data engineering and analytics technologies.

Qualifications

Required Education

• Bachelor’s Degree in:
  • Computer Science
  • Data Science
  • Information Technology
  • Computer Engineering
  • Industrial Engineering
  • Mathematics
  • Statistics
  • Or a related technical discipline

Experience

• Fresh graduates are encouraged to apply.
• Internship, academic projects, or capstone experience involving databases, ETL, analytics, or cloud technologies is an advantage.

Preferred Technical Skills

Database & Query Languages

• Basic knowledge of SQL
• Understanding of relational databases and data structures
• Programming
• Exposure to Python, Java, Scala, or similar programming languages
• Data & Analytics
• Basic understanding of:
  • Data Warehousing
  • Data Quality concepts
  • Data Governance
  • Master Data Management (MDM)
  • Business Intelligence reporting
  • Mathematics
  • Statistics
  • Or a related technical discipline
• Cloud & Modern Data Platforms (Exposure to one or more of the following preferred):
  • Databricks
  • Azure
  • AWS
  • Google Cloud Platform (GCP)
  • Apache Spark

Additional Preferred Skills

• Familiarity with Git or version control systems
• Knowledge of Agile methodologies
• Experience with Tableau, Power BI, or similar reporting tools
• Understanding of ETL concepts and data integration processes

Core Competencies

• Strong analytical and problem‑solving skills
• High attention to detail and focus on data accuracy
• Curiosity and willingness to learn new technologies
• Good verbal and written communication skills
• Strong collaboration and teamwork skills
• Ability to manage multiple priorities and tasks
• Creative mindset for identifying process improvement opportunities
• Commitment to data quality and continuous improvement

#LI_Hybrid

About Regal Rexnord

Regal Rexnord is a publicly held global industrial manufacturer with 30,000 associates around the world who help create a better tomorrow by providing sustainable solutions that power, transmit and control motion. The Company’s electric motors and air moving subsystems provide the power to create motion. A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications. The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools.

The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.

Regal Rexnord is comprised of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. Regal Rexnord has offices and manufacturing, sales and service facilities worldwide. For more information, including a copy of our Sustainability Report, visit RegalRexnord.com.