KBC Technologies Group
Data Engineer (Microsoft Fabric)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Microsoft Fabric) with a contract length of "X months" at a pay rate of "$X/hour". Key skills required include end-to-end Fabric delivery, strong SQL, Qlik to Fabric migration, and Power BI report building.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #SQL (Structured Query Language) #Qlik #BI (Business Intelligence) #Monitoring #"ETL (Extract #Transform #Load)" #Datasets #Storage #Microsoft Power BI #Documentation #Dataflow
Role description
Core Experience (Must‑Have)
End‑to‑end Fabric delivery specifically across storage, ingestion, and ETL in production.
Fabric decision‑making practical choices between Lakehouse vs Warehouse, and use of Pipelines, Dataflows, Mirroring, Shortcuts based on real constraints.
Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with production‑grade alerting and monitoring.
Strong SQL incl. T‑SQL for transformations and optimization.
Qlik → Fabric: able to rewrite Qlik load scripts into Fabric SQL/T‑SQL, simplifying and optimizing logic for Lakehouse/Warehouse execution.
Power BI: comfortable building reports on Fabric datasets.
Enablement & documentation: partner with technical teams, provide Fabric and Power BI advise and support, and document processes/decisions.
Core Experience (Must‑Have)
End‑to‑end Fabric delivery specifically across storage, ingestion, and ETL in production.
Fabric decision‑making practical choices between Lakehouse vs Warehouse, and use of Pipelines, Dataflows, Mirroring, Shortcuts based on real constraints.
Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with production‑grade alerting and monitoring.
Strong SQL incl. T‑SQL for transformations and optimization.
Qlik → Fabric: able to rewrite Qlik load scripts into Fabric SQL/T‑SQL, simplifying and optimizing logic for Lakehouse/Warehouse execution.
Power BI: comfortable building reports on Fabric datasets.
Enablement & documentation: partner with technical teams, provide Fabric and Power BI advise and support, and document processes/decisions.
