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Senior Data Engineer

Senior Data Engineer

American Filtrona
6-8 Years
Not Disclosed
Early Applicant
  • Posted 12 days ago
  • Be among the first 20 applicants

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:

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

Key Skills

SAP CDS Views

DAX formulas

Azure cloud platforms

Real-Time Analytics

Lakehouse

Microsoft Fabric

About Company

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