Senior Data Engineer
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Summary
A hands-on Senior Data Engineer will build, optimize, and govern the enterprise data platform for a manufacturing company, integrating IT and OT systems (SAP CDS Views, MES, Salesforce) into Microsoft Fabric and Azure, delivering ETL/ELT pipelines and Power BI analytics.
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
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