Data Engineer

Data Engineer - Microsoft Fabric & Power BIBirmingham City Centre based (Hybrid)

£65K - £75K

We're partnering with a growing, data-driven organisation looking to hire a Data Engineer to take ownership of their end-to-end data platform.

This is a hands-on role focused on building a modern data stack within Microsoft Fabric. You'll design and develop pipelines, structure data models, and deliver reporting through Power BI that supports decision-making across marketing, sales, finance, and operations.

There is a clear progression path into leadership as the data function grows, but the initial focus is on building a scalable, high-quality data platform from the ground up.

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• Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL
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• Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles
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• Integrate data from ecommerce, ticketing, and marketing platforms into a central data layer
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• Connect sources such as GA4, Google Ads, Meta Ads, and affiliate platforms via APIs and native connectors
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• Own data quality, monitoring, and governance across the platform
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• Design and implement dimensional data models (fact/dimension tables, star schema)
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• Build and maintain Power BI semantic models with DAX, KPIs, and row-level security
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• Deliver dashboards and reporting across commercial, marketing, and operational performance
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• Support analytics use cases including attribution modelling, cohort analysis, and customer segmentation
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• Translate business requirements into data solutions and present insights to stakeholders
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• Promote best practices in data engineering, documentation, and version control
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• Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, pipelines). Azure Data Factory experience will also be considered if no working experience with fabric
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• Advanced SQL and strong PySpark experience
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• Proficiency in Python for data processing and API integration
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• Experience building Power BI models and dashboards for business reporting
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• Strong understanding of ETL/ELT design and data modelling principles
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• Experience integrating third-party data via REST APIs
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• Knowledge of data quality, monitoring, and governance practices
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• Experience using Git or similar version control tools
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• Comfortable working in a hands-on, standalone capacity
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Data Engineer - Please apply asap if interested - GleeIT

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