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Why Join This Opportunity? Hybrid working model with a mix of office and remote work. Work with leading Microsoft Data & Analytics technologies. Join a collaborative, high-performing analytics team. Exposure to large-scale enterprise data environments. Opportunity to influence reporting strategy and business intelligence delivery. Continuous learning and professional development opportunities. Work on impactful projects that improve business decision-making across the organisation. The Role As an Analytics Engineer, you'll bridge the gap between data engineering and business intelligence, transforming business requirements into powerful analytical solutions. Working closely with stakeholders across the business, you'll develop trusted reporting assets, semantic models, dashboards, and data products that enable self-service analytics and informed decision-making. Key Responsibilities Design, develop, and maintain interactive Power BI dashboards, reports, and scorecards. Build and manage semantic models and reporting datasets. Translate business requirements into scalable analytics solutions. Analyse data to identify trends, risks, opportunities, and actionable insights. Develop and maintain PySpark notebooks within Microsoft Fabric environments. Create reporting-ready datasets through data cleansing, transformation, and validation. Write, optimise, and maintain complex SQL queries. Support enterprise data governance and data quality initiatives. Document reporting processes, models, and analytical solutions. Contribute to the design and continuous improvement of the analytics environment. Collaborate with business stakeholders, analysts, and technical teams to deliver high-quality data solutions. What We're Looking For Essential Experience 4+ years' experience in Analytics Engineering, Business Intelligence, or Data Analytics. Strong experience building enterprise reporting and analytics solutions. Advanced SQL development skills. Proven experience designing and developing Power BI dashboards and semantic models. Experience working with Microsoft Fabric and modern cloud-based analytics platforms. Experience developing data transformation solutions using PySpark. Strong understanding of data modelling, ETL\/ELT processes, and data warehousing principles. Experience with Git and version control practices. Excellent problem-solving, analytical, and stakeholder engagement skills. Technical Skills Experience with several of the following technologies will be highly advantageous: Microsoft Fabric Power BI Azure Synapse Analytics Azure Data Factory OneLake Lakehouse Architectures SQL PySpark DAX Power Query (M) Data Modelling ETL \/ ELT Frameworks Git Data Warehousing Analytics Engineering Practices Advantageous Experience Delta Lake CI\/CD Pipelines Dimensional Modelling (Kimball) DataOps practices Forecasting and Predictive Analytics Machine Learning concepts Financial Services or Insurance industry experience Ideal Candidate Profile You are: Passionate about data, analytics, and delivering business value. Equally comfortable engaging with technical teams and business stakeholders. Curious, self-motivated, and committed to continuous learning. Able to take ownership of solutions from concept through to delivery. Skilled at translating complex data into meaningful business insights. Focused on improving processes, reporting capabilities, and data-driven decision-making. Apply Today If you're an Analytics Engineer looking to work with modern Microsoft technologies and help shape the future of enterprise analytics, we'd love to hear from you. This opportunity is ideal for professionals with a strong foundation in Power BI, Microsoft Fabric, Azure Data Services, SQL, and analytics engineering who want to make a measurable impact within a data-driven organisation. Keywords: Analytics Engineer, Microsoft Fabric, Power BI Developer, BI Developer, Data Analytics, Azure Synapse, Azure Data Factory, SQL Developer, PySpark, Data Warehouse, Business Intelligence, Data Engineering, OneLake, Reporting Analyst, Data & Analytics.