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