Senior Specialist Data Engineer Bsf

**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