Senior Data Engineer

Senior Data Engineer We're partnering with a technology business investing heavily in its modern data platform to support self-service BI, advanced analytics, and future AI initiatives. They're looking for a Senior Data Engineer / Analytics Engineer to help build scalable, cloud-native data solutions within a Microsoft ecosystem. This is a hands-on role focused on developing robust data pipelines, modern data models, and analytics infrastructure used across the business. What You'll Be Doing • Build and optimize batch and real-time data pipelines • Develop and maintain Medallion Architecture (Bronze, Silver, Gold) data layers • Create analytics-ready data models and transformation frameworks using dbt • Design scalable ETL/ELT solutions across multiple data sources • Implement data quality, monitoring, and observability best practices • Enable self-service BI through trusted, business-ready datasets • Partner with product, finance, and analytics teams to deliver impactful data solutions • Support the data foundations for future AI and machine learning initiatives Tech Stack: Cloud & Data Platform: Microsoft Fabric, Azure Languages: SQL, PySpark Analytics Engineering: dbt Architecture: Medallion Architecture, Lakehouse Design Additional Exposure: CI/CD, Data Observability, Streaming Technologies What We're Looking For: • Strong experience as a Data Engineer or Analytics Engineer • Hands-on experience with Microsoft Fabric • Advanced SQL and strong data modelling skills • Proven experience with PySpark and large-scale data processing • Experience with dbt and modern analytics engineering practices • Strong understanding of Medallion Architecture and modern data platforms • Experience within product-led or technology-driven environments Details: Location: Remote Job Type: Contract (Highly likely to be extended or conversion to an FTE) Client: Healthcare