Data Engineer MDM, Cloud Data & Analytics

Founded in 1994 and headquartered in Switzerland, ERNI is 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 your success.
• 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.

• Hands-on experience developing scalable data pipelines using:

  • 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

• Azure Data Platform Services

• Data Lakehouse architectures

• Power BI

• Tableau

Cloud & DevOps

• Microsoft Azure and/or AWS

• Terraform

• Azure DevOps

• CI/CD pipelines

• Infrastructure as Code (IaC)

Development

• Java

• Python

• TypeScript

• REST APIs

• Microservices architecture

Ways of Working

• Agile / Scrum / Kanban

• DevOps practices

• Secure software development 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

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.

Data Engineering & Cloud Platforms

• 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.

Analytics Engineering

• Transform raw data into trusted, analytics-ready datasets.

• Develop dimensional data models using Kimball methodologies.

• Build reusable data products for analytics and reporting.

• Implement data quality and validation frameworks.

Business Intelligence

• Develop interactive Power BI dashboards and reports.

• Translate business requirements into meaningful KPIs and visualizations.

• Improve reporting performance, usability, and data 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)

Switzerland · Germany · Spain · Slovakia · Romania · Philippines · Singapore · USA

ERNI Development Center Philippines Inc., 9th Floor, Lica Malls Shaw, 500 Shaw Boulevard, 1555, Mandaluyong City, Philippines

+63 5310 1707 | www.betterask.erni | [email protected]