Data Engineer: BI: BPO: Cape Town CBD: Perm

The call is for a Data Engineer to lead the development, maintenance, support, and integration of our expanding array of data sources into
Azure-hosted SQL data warehouse, and the Power BI platform

In this role, you will oversee the technical aspects of Reporting & BI solutions within the Technology team at, providing robust reporting
capabilities to support Commercial, Operational, and Finance functions

You will possess a deep understanding of data structure, analysis, modelling, and management to drive a technical agenda and data
roadmap. Your focus will be on designing and enhancing the data platform primarily using Azure cloud technologies like ADF, Azure
Synapse Analytics, and Power BI Premium features

The client is experiencing ongoing growth and requires continual enhancement of our dataset, analysis, and reporting capabilities to
achieve our vision of becoming the cruise industry's retail partner of choice

Reporting across supply chain, finance, commercial, and operational areas is essential, making a background in retail or wholesaling
business highly beneficial

Key Performance Areas:
Data Warehouse Optimisation:
Performance Tuning: Analyse, optimise, and refactor existing stored procedures, ETL jobs, and data workflows to improve
performance and reduce load times on the current data warehouse
Capacity Management: Clean up and enhance the efficiency of the current Power BI Premium (P1) instance, ensuring optimal
resource allocation and utilization as data volumes and complexity grow
Job Scheduling & Monitoring: Review and maintain the scheduling of data jobs to ensure timeliness and reliability, improving
operational processes to meet evolving business needs
Data Quality & Governance: Implement data quality checks, governance, and performance monitoring for both ETL processes
and reporting outputs
Operational Support: Provide ongoing support for the existing data platform, responding to and resolving performance issues,
data quality concerns, and user queries
Migration Leadership & Futureproofing:
Cloud Migration Strategy: Lead and actively execute the long-term migration of the on-premises data warehouse to Microsoft
Fabric, including hands-on development and implementation of a robust strategy for transitioning datasets, ETL pipelines, and
reporting solutions to the cloud
ETL & Pipeline Development: Build scalable ETL processes using Azure Data Factory, Azure Synapse, and other Fabric-native
tools, ensuring a smooth integration between the on-prem and future cloud environments
Cloud Infrastructure Design: Design and implement Azure-based data architecture, leveraging tools like Azure Data Lake, Azure
synapse Analytics, and Fabric’s data capabilities to future-proof the platform
Azure Expertise: Utilize Azure tools such as Synapse Analytics, Logic Apps, and Azure Functions to streamline data processing
and orchestration across the business
End-User Reporting & Analytics:
Power BI Optimisation: Lead optimization efforts in Power BI, leveraging Power BI Premium features such as incremental
refresh, paginated reports, and composite models to enhance reporting performance and scalability
DAX and Data Modelling: Write advanced DAX and perform complex data modelling within Power BI to support high-quality,
dynamic reporting
Self-Service BI: Empower stakeholders to build their own reports and dashboards by enhancing data accessibility and
developing self-service capabilities
Essential Knowledge, Skills, and Experience:
Data Warehouse Expertise: Extensive experience in maintaining and optimizing on-premises SQL Server data warehouses,
focusing on stored procedures, indexing, partitioning, and load performance
Azure Cloud Proficiency: Deep understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data
Factory, and Logic Apps
Microsoft Fabric: Hands-on experience with Microsoft Fabric or similar modern cloud platforms, with a strong focus on data
migration strategies and ETL development
Advanced SQL & Python: Proficiency in writing advanced SQL queries, stored procedures, and Python scripts for data
manipulation, pipeline development, and automation
ETL & Data Pipelines: Experience with ETL tools (both on-prem like SSIS, and cloud-based like Azure Data Factory) for creating,
optimising, and maintaining data pipelines
Power BI Premium: Skilled in Power BI Premium, including data modelling, DAX, performance tuning, and advanced reporting
features like composite models and incremental refresh? Data Governance & Security: Strong understanding of data
governance, security best practices, and compliance requirements (GDPR)
Experience working with Agile methodologies
Stakeholder Communication: Excellent communication skills, capable of collaborating with both technical and non-technical
stakeholders to translate business needs into effective data solutions
Advantageous Experience:
Experience with Microsoft Dynamics 365 Business Central
Experience of defining and operating within data management best practice frameworks
Experience working in a Retail environment
Apply:
Please send me a detailed copy of your CV: monique.joubert@isilumko.co.za