Quantitative Data Engineer: Banking Analytics & ETL

Nedbank; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Nedbank is seeking a data engineer to build and maintain data pipelines and models that feed data marts, reports and analytics. The role requires strong SAS, Netezza and SQL skills within a banking data environment, and the ability to translate technical outputs into business insights.

You will collaborate with Finance, Risk and Modelling teams, drive data quality controls and automate data prep tasks, helping ensure compliant, high-quality data flows across reports and analytics environments.

Qualifications

• 2–5 years of experience in banking or financial data environments.
• Strong SAS for data extraction and transformation.
• Knowledge of ETL/ELT and data visualization tools (Power BI).

Responsibilities

• Develop and maintain ETL/ELT pipelines for reporting and analytics.
• Build data marts and data models supporting business and advanced analytics.
• Optimize SQL queries and Netezza performance for large financial datasets.
• Maintain documented, reusable transformation logic.
• Collaborate with Finance, Risk and Modelling teams to translate outputs into business insights.

Skills

Data engineering

Data modelling

Stakeholder engagement

SQL proficiency

Analytics

Problem solving

Education

Matric / Grade 12 / National Senior Certificate

Advanced Diploma / National 1st Degree

3-year qualification in Mathematical related BSc/Engineering/CFA/FRM/CQF

Tools

SAS

Netezza

SQL

Power BI

Job description

Nedbank is seeking a data engineer to build and maintain data pipelines and models that feed data marts, reports and analytics. The role requires strong SAS, Netezza and SQL skills within a banking data environment, and the ability to translate technical outputs into business insights.

You will collaborate with Finance, Risk and Modelling teams, drive data quality controls and automate data prep tasks, helping ensure compliant, high-quality data flows across reports and analytics environments.