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
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