Key Responsibilities: Business Intelligence & Analytics Develop Power BI dashboards, reports, and KPI metrics. Build and optimise data models, datasets, and reporting solutions. Analyse data to identify trends, insights, risks, and opportunities. Present findings and support data-driven decision-making. Data Engineering Develop PySpark notebooks and reporting datasets in Microsoft Fabric. Build scalable data models and optimise SQL queries. Work with Lakehouse and enterprise data platforms. Data Quality & Collaboration Ensure data accuracy, governance, and documentation. Collaborate with business and technical teams to deliver BI solutions. Support best practices, continuous improvement, and knowledge sharing. Job Experience and skill required Degree / diploma in Data Science, Computer Science, Information Systems or related 4+ years experience in Analytics Engineering Experience developing PySpark notebooks within Microsoft Fabric or Apache Spark Environments Strong SQL, PowerBI semantic models, dashboards, and reporting solutions Experience with Microsoft Data Platform (Microsoft Fabric, PowerBI, Azure Synapse Analytics, Azure Data Factory) Experience in Python, Data Modelling, Data Warehousing Principles Apply now! For more IT jobs, please visit /> I also specialise in recruiting in the following: Software Development Data Engineer Data Analyst Infrastructure Architecture Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning) AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists ... and more! If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information contact: Monica de Wet Senior Recruitment Consultant