Key Responsibilities

Data Platform Engineering

• Design, develop, and support data solutions using Microsoft Fabric.
• Build and maintain scalable data ingestion, transformation, and orchestration processes.
• Develop and optimize Lakehouse and Data Warehouse solutions within Fabric.
• Implement and maintain Medallion Architecture (Bronze, Silver, Gold) data structures.
• Ensure data quality, integrity, and consistency throughout the analytics platform.
• Monitor platform performance and proactively identify optimization opportunities.

Power BI Development

• Design and maintain reusable semantic models and datasets.
• Develop enterprise-grade Power BI reports, dashboards, and KPI frameworks.
• Optimize Power BI performance, data refresh processes, and report usability.
• Support self-service analytics initiatives while maintaining governance controls.
• Collaborate with business users to translate reporting requirements into scalable solutions.

Data Integration

• Integrate data from multiple enterprise systems, including:
• SAP ERP
• Salesforce CRM
• Master Data Management solutions
• SQL databases
• SharePoint and Microsoft 365 platforms
• External business applications
• Develop robust ELT/ETL processes and automation workflows.
• Support regional reporting requirements across Southeast Asia markets.

Governance and Security

• Implement and maintain data governance standards.
• Support metadata management, lineage, and documentation activities.
• Ensure compliance with corporate security and privacy requirements.
• Configure and maintain role-based access controls and data security models.

Collaboration and Continuous Improvement

• Work closely with regional business stakeholders to understand analytical requirements.
• Participate in data architecture discussions and technology roadmaps.
• Contribute to the adoption of analytics best practices throughout the organization.
• Support project delivery, testing, incident resolution, and continuous
  improvement activities.
• Share technical expertise and mentor colleagues where appropriate.

Key Requirements

• University degree in Computer Science, Data/ Software engineering, Mathematics or any related field
• Minimum 5 years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or  Business Intelligence
• Demonstrated experience delivering end-to-end analytics solutions in enterprise environments
• Experience supporting regional or multinational organizations is highly desirable
• Experience working with stakeholders across multiple countries and business functions
• Strong analytical and problem-solving skills
• Excellent communication skills
• Ability to work independently and collaboratively
• Customer-focused mindset
• Attention to detail and data quality
• Experience working in multicultural regional environments

Your ZEISS Recruiting Team:

Rebecca Felix