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.
Reports to the Infrastructure Manager.
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 about 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.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
- Relevant certifications are a plus: Power BI Data Analyst Associate.
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 “Power Query” and “Modelling” languages.
- Modelling: Advanced DAX (Data Analysis Expressions).
- Data Transformation: M Query and Python 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. Understanding 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.
- Privacy & Financials: GDPR and PCI DSS.
- Defense & Export Controls: ITAR (International Traffic in Arms Regulations).
Eligibility
Candidate must be able to achieve UK SC Clearance.
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