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We are looking for a highly skilled Senior Data Engineer to lead the design and build of our new enterprise data platform using Microsoft Fabric. This is a hands-on role focused on creating a scalable, secure and future-ready data warehouse to enable robust analytics, self-service reporting and data-driven decision making across the organisation. You will work closely with business stakeholders, analysts and BI teams to define architecture, deliver high-quality data models, and ensure end-to-end orchestration, governance and monitoring of data pipelines. This is an exciting opportunity to shape a greenfield solution from the ground up using cutting-edge cloud technologies.
Job Responsibility:
Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required
Requirements:
Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs
Nice to have:
Experience with Databricks, Azure Synapse, Azure Data Lake, or equivalent cloud platforms
Knowledge of data governance and security frameworks
Exposure to DevOps/DataOps practices (e.g., CI/CD, Git, environments, testing)
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