Data Engineer — Banking Data Platform

Nedbank; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Nedbank is seeking a Data Engineer to join the Personal and Private Banking data team. You will design, develop, and optimise data solutions, ensuring trusted, high-quality information across the enterprise and analytics initiatives.

You will build robust data pipelines, enhance data governance, and collaborate with stakeholders to translate business requirements into scalable data assets. The role offers exposure to cloud platforms, SQL, Python, and modern data engineering practices within a

Qualifications

• Minimum 5+ years in Data Engineering or related environments.
• Experience designing, developing and supporting enterprise-scale data solutions.
• Strong SQL development, data modelling, and ETL/ELT experience.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Contribute to transformation and culture objectives.
• Identify opportunities to improve processes and efficiencies.
• Deliver work aligned to stakeholder requirements with effective planning.
• Adhere to governance, risk, compliance and security standards.
• Build and optimise data pipelines and ETL processes.
• Support and enhance enterprise data warehouse environments.
• Ensure data quality and governance across data platforms.
• Maintain metadata, data lineage and governance standards.
• Monitor and resolve data-related incidents.
• Collaborate with stakeholders to enable trusted data for decision-making.

Skills

SQL development

Python

Data modelling

Data pipelines

Agile delivery

Problem solving

Education

Honour’s Degree

Advanced Diplomas/National 1st Degrees

Tools

Ab Initio

SSIS

SAS ETL

CI/CD & DevOps

Job description

Nedbank is seeking a Data Engineer to join the Personal and Private Banking data team. You will design, develop, and optimise data solutions, ensuring trusted, high-quality information across the enterprise and analytics initiatives.

You will build robust data pipelines, enhance data governance, and collaborate with stakeholders to translate business requirements into scalable data assets. The role offers exposure to cloud platforms, SQL, Python, and modern data engineering practices within a