Role Overview: BW: Workplace Experts, a leading fit-out construction company based in Central London, is seeking a Data & Analytics Engineer to continue our journey towards leading the construction industry with data driven intelligent decisions. You will own the architecture, governance, and optimisation of BW’s Microsoft Fabric environment, design and deliver enterprise grade Power BI dashboards, and play a pivotal role in developing the future of data across the business. This is a hands on, high impact position suited to someone ready to lead technical direction, mentor others, and help shape a modern, data driven culture. Key Responsibilities: Architect, maintain, and optimise BW’s Microsoft Fabric ecosystem, ensuring scalable, efficient data workflows across the business. Design and deliver insightful, interactive Power BI dashboards and analytical models to drive decision-making. Translate complex business requirements into reliable, well-documented data structures and reporting frameworks. Implement data governance and quality controls, ensuring accuracy, consistency, and compliance across all systems. Partner with IT, operations, and commercial teams to drive adoption of data-driven decision-making. Mentor and support junior members of the analytics team, fostering technical excellence and collaboration. Champion best practices in data architecture, visualisation, and automation. Essential Skills: Proven experience architecting and supporting solutions within Microsoft Fabric (including Data Factory, Synapse, and OneLake). Advanced proficiency in Power BI, including DAX, Power Query (M), and data modelling. Deep understanding of data warehousing, ETL, and data lakehouse concepts. Strong working knowledge of Databricks, including Delta Lake and notebooks. Strong interpersonal skills with the ability to influence and communicate complex data topics clearly. Excellent analytical, organisational, and problem-solving abilities. Experience leading or mentoring technical peers. Bonus Skills and Experience: Proficiency in Microsoft SQL Server, including stored procedures, triggers, and performance tuning. Familiarity with Supabase/Postgres or similar cloud database technologies. Experience with low-code and integration tools such as Power Apps, Power Automate (Microsoft Flow), Workato, Make (Integromat), or n8n. Experience with Azure DevOps or CI/CD data pipelines.