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