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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.
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.
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.
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.
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
DevOps practices
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.
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.
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.
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)