Senior Data Warehouse & BI Developer - Johannesburg - up to R500 per hour

Our Client in the Insurance space is seeking an experienced Senior Data Warehouse & BI Developer to join their growing data and analytics team. The successful candidate will play a key role in designing, developing, and maintaining enterprise data solutions that support business intelligence, regulatory reporting, financial accounting, and operational decision‑making. This role requires strong expertise in Data Warehousing, ETL development, BI reporting, and multidimensional data modelling, with a particular focus on the insurance industry. Exposure to modern cloud and big data technologies will be highly advantageous.

Responsibilities

• Design, develop, and maintain end‑to‑end data acquisition, ETL, and data management solutions.
• Build and support data pipelines, data lakes, and enterprise data warehouse environments.
• Develop dimensional data models and BI solutions to support business, regulatory, and financial reporting.
• Manage data integration, quality assurance, testing, and user acceptance testing (UAT) activities.
• Monitor and report on data acquisition progress, project delivery, and reporting requirements.
• Troubleshoot data and system issues, ensuring reliable and accurate data delivery.
• Collaborate with business stakeholders, technical teams, and clients to gather requirements and deliver solutions.
• Contribute to database design, optimization, security, and data governance initiatives.
• Support cloud, big data, and streaming data technologies where applicable.
• Apply structured problem‑solving approaches to meet project objectives and deadlines.

Qualifications & Experience

• IT‑related Degree, Diploma, or equivalent qualification.
• Relevant Microsoft, Cloud, or Data Engineering certifications will be advantageous.
• Minimum 5 years' experience in Data Warehousing, Data Lake implementation, ETL/ELT development, and dimensional modelling using Kimball methodology.
• Experience designing and supporting enterprise Data Lake architectures and data ingestion frameworks.
• Experience working with structured, semi‑structured, and streaming data in modern analytics environments.
• Minimum 5 years' experience developing ETL solutions using SSIS.
• Minimum 5 years' experience in SSRS report development.
• Minimum 5 years' experience in SSAS cube development and MDX.

Reference Number: NG61374
Job Type: Contract
Location: Johannesburg
Hourly Rate: R500 per hour (negotiable)

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