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Cape Town: MS Fabric Data Engineer (JHB/CPT) posted by Datafin

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Job Description

MS Fabric Data Engineer (JHB/CPT)IT – Analyst, Data Management
Johannesburg – Gauteng – South Africa, Cape Town – Western Cape – South Africa

ENVIRONMENT:
YOUR passion for leading teams, driving Business Intelligence & Microsoft Fabric expertise is sought to fill the role of a MS Fabric Data Engineer wanted by a provider of tailored Financial Solutions. You will lead the initial phases of a warehouse rework project and support the ongoing expansion of a newly created data warehouse within the Microsoft Fabric platform. You will also build and lead a Data team, playing a critical role in designing, implementing, and maintaining data pipelines and ensuring high-quality data movement. The ideal candidate must preferably have Azure Data Engineer Associate or Fabric Analytics Engineer Associate/Data Engineer Associate Certifications with 5+ years experience working with complimentary Azure Data Technologies – Azure Synapse, Azure Data Factory, Azure Databricks, Azure SQL, etc. You also need proficiency with T-SQL, ETL/ELT tools, PySpark and Spark SQL & proven experience in using Pipelines, Lake House and Warehouse capabilities of the Microsoft Fabric platform.
DUTIES:
  • Maintain and update existing reports and dashboards in Power BI to reflect evolving business requirements.
  • Assist with data extractions and execute defined SQL queries.
  • Perform data validation and reconciliations between reporting layers.
  • Work closely with the Analytics and Engineering teams to resolve data discrepancies.
  • Support documentation of reports, dashboards, and data definitions.
  • Participate in data testing and user feedback processes.
  • Lead the design, development, and maintenance of scalable data pipelines and infrastructure within Microsoft Fabric.
  • Architect and optimize the data warehouse within the Microsoft Fabric platform.
  • Oversee data ingestion, transformation, and integration processes to ensure efficient data workflows.
  • Implement and maintain ETL/ELT processes, data governance, and security best practices.
  • Work closely with the Analyst and business stakeholders to translate requirements into technical solutions.
  • Develop the data model to be implemented to achieve the business analytics objectives.
  • Ensure data quality, reliability, and performance across all pipelines.
  • Build and lead a Data team, initially managing the existing Analyst and gradually hiring additional Engineers and Analysts as needed.
  • Provide mentorship, training, and career development opportunities for team members.
  • Stay updated on emerging technologies in data engineering, analytics, and Microsoft Fabric advancements.
REQUIREMENTS:
Preferred Qualifications –
One of the following Microsoft Certifications:
  • Azure Data Engineer Associate (DP-203)
  • Fabric Analytics Engineer Associate (DP-600)
  • Fabric Data Engineer Associate (DP-700)
Experience/Skills –
  • 5 + Years experience working with complimentary Azure Data Technologies – Azure Synapse, Azure Data Factory, Azure Databricks, Azure SQL, etc.
  • Designing and developing Star Schema based data models.
  • Designing and implementing analytics solutions using data warehouses and data lakes.
  • Hands-on experience with ETL/ELT tools, data modelling (star schema), and performance optimization.
  • Understanding of data governance, security, and compliance best practices.
  • Proven experience in using Pipelines, Lake House and Warehouse capabilities of the Microsoft Fabric platform.
  • Strong, proven experience in developing Semantic Models (datasets) in Power BI.
  • Proficiency in T-SQL in SQL Server (On-premises or Cloud) using Stored Procedures and Functions.
  • Proficiency in PySpark and Spark SQL within notebooks on the Microsoft Fabric Platform or Azure Databricks for data transformation and processing.
  • Experience with use of Azure DevOps and GitHub for CI/CD deployments and use of Power BI Deployment Pipelines.
Leadership & Business Skills
  • Experience leading and managing a Data team, with a track record of hiring and mentoring data professionals.
  • Strong ability to translate business requirements into technical solutions.
  • Excellent communication skills to engage with stakeholders across business and technical teams.
  • Experience in Project Management, Agile methodologies, and process automation.
Advantageous
  • Experience with Machine Learning models or AI-driven analytics.
  • Background in Financial Services, Sales Optimization, or Regulatory Reporting.
  • Experience with Premium or Embedded.
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