About this role
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