Senior Data Engineer

Filtrona; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Filtrona is seeking a Senior Data Engineer to build and optimize its enterprise data platform in a manufacturing setting. You will integrate IT and OT systems, deliver trusted analytics, and improve operational efficiency.

You will lead scalable data pipelines, implement data governance, and develop dashboards using Power BI, SQL, and Python. Experience with Microsoft Fabric, SAP CDS Views, MES and Salesforce is highly valued.

Qualifications

• 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

Responsibilities

• 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
• 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
• Ensure compliance with regulatory standards (e.g., GDPR, SOX where applicable)
• Enforce data standards, naming conventions, and access controls
• Monitor pipelines with logging, alerting, and observability tools
• Troubleshoot and resolve performance bottlenecks and data issues
• Data quality monitoring and validation pipelines

Skills

Microsoft Fabric

SQL

Power BI

Python

ETL/ELT

Data Modeling

Data Visualization

Agile delivery

Communication

Education

Bachelor’s or Master’s in Computer Science/Engineering/Data Analytics

Tools

SAP CDS Views

MES

Salesforce

Job description

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:

• 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