About the Role
We’re looking for an individual with strong Microsoft Azure and Fabric experience who can manage, optimize, and develop our data platforms while delivering high-quality analytics through interactive dashboards and reports.
This role spans data warehouse architecture, data model governance, ETL/ELT pipelines, and BI/reporting enablement—working closely with business stakeholders, SAP teams, and BI developers to turn data into actionable insights.
Key Responsibilities
Data Engineering & Cloud Architecture
Fabric Ecosystem Management: Lead the design, implementation, and maintenance of the Microsoft Fabric environment, managing both Data Warehouses and Lakehouses to support diverse analytical workloads.
Data Orchestration & ETL: Architect and monitor complex data pipelines using Azure Data Factory and SAP Datasphere to ensure seamless data movement from source systems to the Fabric ecosystem.
Storage Strategy: Optimize data storage using Delta Lake formats, ensuring efficient partitioning, vacuuming, and performance tuning within the Fabric environment.
Environment Governance: Manage the technical lifecycle of the reporting system, including workspace administration, deployment pipelines, and capacity management.
Continuous Integration / Continuous Deployment: Create and develop pipelines using Fabric CI/CD to enable offline development and minimal downtime when deploying new solutions.
Business Intelligence & Semantic Modelling
Semantic Layer Development: Design and optimize sophisticated Power BI Semantic Models (Tabular), ensuring high performance, reusable DAX measures, and "single source of truth" logic.
Advanced Visualization: Create and deploy high-impact interactive dashboards, paginated reports, and Power BI Applications tailored for executive and operational stakeholders.
Mobile & Edge Reporting: Configure and optimize reports specifically for the Power BI Mobile experience, ensuring critical data is accessible to field and factory floor staff.
Self-Service Enablement: Curate and maintain certified datasets and "Golden Models" to empower power users to build their own insights safely and accurately.
Data Governance & Security
Access Control & Security: Define and enforce robust Roles and Authorizations. Implement Row-Level Security (RLS) and Object-Level Security (OLS) to maintain strict compliance with ITAR, GDPR, and PCI standards.
Data Privacy Compliance: Ensure all cloud data movements and storage configurations adhere to internal data privacy rules and external regulatory requirements.
Leadership, Training & Data Culture
Data Evangelism: Act as the primary champion for the new Fabric Reporting System, raising awareness across the organization of the value and capabilities of the Data Warehouse.
User Training: Conduct workshops and training sessions for business users, ranging from basic data literacy to advanced self-service Power BI techniques.
Culture Shift: Partner with department heads to help enforce a data-driven decision-making culture, moving the business away from manual spreadsheets toward automated, verified insights.
PERSON SPECIFICATION (essential requirements)
Qualifications
Experience
Modern Data Stack & Cloud Architecture
Microsoft Fabric Ecosystem: Hands-on experience architecting and managing data solutions within Microsoft Fabric, specifically utilizing Fabric Warehouse (T-SQL based) and Fabric Lakehouse (Spark/Delta Lake).
Cloud Data Integration: Proven experience building and orchestrating scalable data pipelines using Azure Data Factory (ADF) or Fabric Data Pipelines.
SAP Integration (Desirable): Previous experience with SAP Datasphere for data modelling and integration is highly desirable but not mandatory.
Analytics & Visualization
Power BI Mastery: Expert-level administration and development within Power BI Pro and Premium capacities. This includes workspace management, deployment pipelines, and capacity optimization.
Advanced Analytical Scripting: Deep proficiency in the "Power Query" and "Modelling" languages:
Modelling: Advanced DAX (Data Analysis Expressions).
Data Transformation: M Query and Python (specifically for data manipulation).
Automation & Statistical Analysis: Proficiency in PowerShell for environment automation and R-Script for advanced statistical modelling or visualization.
Data Domain & Compliance Expertise
Operational Data Structures: Substantial experience working with high-volume production data originating from ERP or MRP applications. You must understand how to translate complex manufacturing/supply chain schemas into clean analytical models.
Financial Intelligence: Experience managing and reporting on Financial Data, ensuring total accuracy for month-end processing and fiscal audits.
Regulatory & Security Standards: Demonstrated experience handling data within highly regulated frameworks. A proven track record of maintaining compliance for:
Privacy & Financials: GDPR and PCI DSS.
defence & Export Controls: ITAR (International Traffic in Arms Regulations).
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