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
