全职 Senior Data Engineer 工作, 薪水, Filtrona 公司招聘中 - Ricebowl

We are seeking a technically strong, hands-on Senior Data Engineer to build, develop, and optimize our enterprise data platform in a manufacturing environment. This role combines deep technical expertise in Microsoft Fabric, SAP CDS Views, MES, Salesforce, and Power BI / Power Automate.

You will be responsible for building scalable data pipelines, integrating IT and OT systems, and delivering trusted, high-performance analytics that drive operational efficiency, production visibility, and business performance.

Key Responsibilities:

1. Data Engineering

• Build and optimize scalable data platforms using Microsoft Fabric (Lakehouse, Data Factory, Warehouse, Real-Time Analytics)
• Develop and maintain robust ETL/ELT pipelines for batch and streaming data
• Optimize data storage, transformation, and query performance for cost optimisation
• Implement best practices in partitioning, indexing, and cost optimization

2. BI Development & Analytics Delivery

• Develop dashboards and reporting solutions using SQL, Power BI/Query/Automate and writing DAX formulas
• Ability to write Python for data manipulation and advanced analytics.
• Implement reusable semantic models and standardized datasets
• Enable self-service analytics while maintaining performance and governance
• Translate business requirements into technical data solutions

4. Data Governance, Security & Quality

• Ensure compliance with regulatory standards (e.g., GDPR, SOX where applicable)
• Enforce data standards, naming conventions, and access controls

5. BAU & Reliability

• Monitor pipelines with logging, alerting, and observability tools
• Troubleshoot and resolve performance bottlenecks and data issues
• Data quality monitoring and validation pipelines

What we are looking for:

• 6+ years of hands-on experience in data engineering, BI, or analytics roles; in manufacturing environment preferred
• Strong expertise in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Real-Time Analytics) and Azure cloud platforms
• Proven experience with: SAP CDS Views; preferably with MES and Salesforce data integration and reporting experience in manufacturing environments
• Advanced SQL and strong data modeling skills
• Hands-on experience with Power Query, Automate and Power BI
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Analytics or related field
• Strong communication, stakeholder management, and documentation skills
• Analytical mindset with attention to detail and problem-solving capability
• Experience with Agile delivery practice
• Prior experience managing vendors or external partners preferred