1st Place - Data Engineering Challenge | Nedbank N*ovation Data and Analytics Masters 2026
Issued by Otinga.io
This badge recognises the top-ranked data engineer in the Data Engineering track of the Nedbank N*ovation Data and Analytics Masters 2026. Working individually against a production-grade banking scenario, the recipient designed and built a medallion data pipeline - Bronze to Silver to Gold - that turned messy fintech and bank data into a clean, queryable, auditable dimensional model in Delta Parquet. Set against a field of South Africa's strongest data engineers, their submission scored highest across correctness, scalability, maintainability and efficiency, earned a place among the top 25 on-site finalists, and stood up to detailed technical questioning at the Nedbank finale in Johannesburg. First place in a genuinely hard, real-world engineering challenge and proof of what skilled people can build under pressure.
Recipient: Magale Thobejane
Issued On: June 24, 2026, 12:13 p.m.
Certificate ID: 2ba4ad13-bc2c-4b7f-886a-6c5efc118376
Earning Criteria
- Top-Ranked Pipeline Execution
- Placed first among some of South Africa's top data engineering practitioners, delivering the highest-scoring solution in the Data Engineering track of the Nedbank N*ovation Data and Analytics Masters 2026.
- Built a medallion pipeline (Bronze → Silver → Gold) that passed all three supplied validation queries and produced a clean dimensional model in Delta Parquet.
- Engineering for Production Reality
- Ingested three disparate data sources into an auditable Bronze layer, then standardised, deduplicated and resolved account-to-customer linkage through Silver to a Gold fact-and-dimension model.
- Designed for change - avoiding hardcoded paths, schemas and thresholds so the pipeline could absorb curveballs such as schema drift and shifting data volumes.
- Excellence Across Every Scoring Dimension
- Achieved the highest combined score across the automated dimensions: correctness, scalability, maintainability and efficiency.
- Wrote reproducible, resource-aware Spark code that ran end-to-end inside the constrained Docker environment within the time limit.
- Commanding Technical Defence
- Advanced to the invite-only on-site finale on 9 May 2026 at the Nedbank offices in Johannesburg.
- Explained and defended every design decision and trade-off under detailed questioning from the Nedbank panel.
- End-to-End Commitment
- Sustained excellence from submission through to the finale, standing out as the overall first-place data engineer.
- Met the AI-usage disclosure and explainability requirements, demonstrating full ownership of the submitted solution.