Data Engineer – MDM, Cloud Data & Analytics (Int'l Hiring)

ERNI

Mandaluyong

Hybrid

PHP 1,800,000 - 2,400,000

Full time

14 days+
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Job summary

ERNI, a leading software development company with a global footprint, seeks a Senior Data Engineer for an international, remote role based in Manila alignment. You will design and implement enterprise MD M data and cloud-based data platforms, collaborate with cross-functional teams, and deliver analytics-ready data pipelines for global clients.

The role emphasizes Java, MDM, cloud data solutions, and BI tooling, with a 1-year project scope and Manila-time collaboration expectations.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • 5+ years of experience in Data Engineering, Software Engineering, Analytics Engineering, or related disciplines.
  • 5+ years of experience designing and developing enterprise-scale integrated solutions.
  • Strong hands-on experience in Java application development.
  • Experience with Master Data Management (MDM) platforms.
  • Strong experience designing and implementing cloud-based data solutions.
  • Proficient in Python, PySpark, and SQL.
  • Strong knowledge of data modeling, data warehousing, and Kimball methodology.
  • Experience with relational databases such as SQL Server, Oracle, or PostgreSQL.

Responsibilities

  • Design, develop, and maintain enterprise MDM solutions.
  • Develop MDM applications using Java and modern enterprise technologies.
  • Build and maintain Master Data and Reference Data APIs.
  • Ensure data quality, governance, integrity, and consistency.
  • Collaborate with business stakeholders to define data standards and processes.
  • Design and implement scalable cloud-based data platforms.
  • Develop secure and reliable batch and near-real-time data pipelines.
  • Build and optimize data integration and processing workflows.
  • Monitor and troubleshoot platform performance and reliability.
  • Implement Infrastructure as Code (IaC) and automation practices.
  • Transform raw data into analytics-ready datasets.
  • Build reusable data products for analytics and reporting.
  • Implement data quality and validation frameworks.
  • Develop interactive Power BI dashboards and reports.
  • Translate business requirements into KPIs and visualizations.
  • Improve reporting performance, usability, and data reliability.
  • Design, develop, and maintain enterprise MDM solutions (MDM section).
  • Develop MDM applications using Java and modern enterprise technologies (MDM section).
  • Build and maintain Master Data and Reference Data APIs (MDM section).
  • Ensure data quality, governance, integrity, and consistency (MDM section).
  • Collaborate with stakeholders to define data standards and processes (MDM section).
  • Design and implement scalable cloud-based data platforms (MDM section).
  • Develop secure and reliable batch and near-real-time data pipelines (MDM section).
  • Monitor and troubleshoot platform performance and reliability (MDM section).
  • Build and optimize data integration and processing workflows (MDM section).
  • Transform raw data into trusted, analytics-ready datasets (MDM section).
  • Develop interactive Power BI dashboards and reports (MDM section).
  • Translate business requirements into meaningful KPIs and visualizations (MDM section).
  • Improve reporting performance, usability, and data reliability (MDM section).
  • Create high-level and detailed technical solution designs (Technical Leadership).
  • Review architecture, code, data models, pipelines, APIs, and dashboards (Technical Leadership).
  • Mentor team members and promote engineering best practices (Technical Leadership).

Skills

Java
Python
PySpark
SQL
Data modeling
Data warehousing
Kimball methodology
Cloud data solutions
MDM platforms
Databricks
Power BI
Tableau
Terraform
REST APIs

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science

Tools

Databricks
Power BI
Tableau
Terraform
REST APIs

Job description

Founded in 1994 and headquartered in Switzerland,ERNIis a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team.

Why ERNI is the Perfect Place for You:
  • International Exposure:Work with global clients on cutting-edge projects.
  • Inclusive Culture:Thrive in a collaborative and diverse work environment.
  • Career Development:Enjoy continuous learning and professional growth opportunities.
Growth and Opportunities:
  • Challenging Projects:Engage in complex software projects across MedTech, Industry, Finance, and Transportation.
  • Supportive Environment:Benefit from a team dedicated to guiding and supporting yoursuccess.
  • Recognition and Advancement:Receive acknowledgment for your efforts and opportunities for promotion.
  • Open Communication:Experience transparency and value your input in our culture.
What are our wishes?

We are looking for a Senior Data Engineer to design, develop, and maintain enterprise-scale data solutions across Master Data Management (MDM), cloud data platforms, data engineering, analytics, and business intelligence.

You will work with data engineers, architects, analysts, business stakeholders, and cross-functional teams to build scalable, secure, and reliable data solutions.

Important: International Hiring | Remote Opportunity
This opportunity is open exclusively to candidates based outside the Philippines with a 1-year project engagement and alignment to Manila business hours.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

5+ years of experience in Data Engineering, Software Engineering, Analytics Engineering, or related disciplines.

5+ years of experience designing and developing enterprise-scale integrated solutions.

Strong hands-on experience in Java application development.

Experience with Master Data Management (MDM) platforms.

Strong experience designing and implementing cloud-based data solutions.

Python

PySpark

SQL

Strong knowledge of:

Data modeling

Data warehousing

Dimensional modeling / Kimball methodology

Experience with relational databases such as SQL Server, Oracle, or PostgreSQL.

Preferred Qualifications

Experience with the following technologies is highly desirable:

Data & Analytics

Databricks

Data Lakehouse architectures

Power BI

Tableau

Terraform

Infrastructure as Code (IaC)

Development

Java

Python

TypeScript

REST APIs

Ways of Working

DevOps practices

Nice to Have

Experience with enterprise MDM platforms, particularly TIBCO EBX.

Certifications in Azure, Databricks, Scrum, DevOps, or Secure Coding.

Experience working in international and multicultural environments.

Strong stakeholder management and consulting skills.

Experience collaborating with senior stakeholders and business leaders.

How can you contribute to the team?
Key Responsibilities

Design, develop, and maintain enterprise MDM solutions.

Develop MDM applications using Java and modern enterprise technologies.

Build and maintain Master Data and Reference Data APIs.

Ensure data quality, governance, integrity, and consistency.

Collaborate with business stakeholders to define data standards and processes.

Design and implement scalable cloud-based data platforms.

Develop secure and reliable batch and near-real-time data pipelines.

Build and optimize data integration and processing workflows.

Monitor and troubleshoot platform performance and reliability.

Implement Infrastructure as Code (IaC) and automation practices.

Transform raw data into trusted, analytics-ready datasets.

Build reusable data products for analytics and reporting.

Implement data quality and validation frameworks.

Develop interactive Power BI dashboards and reports.

Translate business requirements into meaningful KPIs and visualizations.

Improve reporting performance, usability, and data reliability.

Master Data Management (MDM)

Design, develop, and maintain enterprise MDM solutions.

Develop MDM applications using Java and modern enterprise technologies.

Build and maintain Master Data and Reference Data APIs.

Ensure data quality, governance, integrity, and consistency.

Collaborate with business stakeholders to define data standards and processes.

Design and implement scalable cloud-based data platforms.

Develop secure and reliable batch and near-real-time data pipelines.

Build and optimize data integration and processing workflows.

Monitor and troubleshoot platform performance and reliability.

Technical Leadership

Create high-level and detailed technical solution designs.

Review architecture, code, data models, pipelines, APIs, and dashboards.

Mentor team members and promote engineering best practices.

Support Agile ceremonies and continuous improvement initiatives.

Work Setup: Remote
Work Schedule: 8:00 AM - 5:00 PM, Manila Time (must align with the client's business calendar and holidays)
Employment Type: Project-based (1-year project engagement, subject to extension)

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