Data Engineer

Access Bank; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading financial institution in Johannesburg is seeking a Data Engineer to gather business requirements, execute projects, and manage a team of data engineers. The ideal candidate will have a degree in a relevant field and 4-7 years of experience in data engineering, including data warehousing and integration. This role emphasizes building dashboards and ensuring data quality and accuracy. Competitive compensation and opportunities for professional growth are offered.

Qualifications

• 4-7 years of experience in data engineering or a related field.
• Ability to perform complex data analysis and deep dives.

Responsibilities

• Gathers business requirements and executes projects.
• Builds dashboards and reports based on requirements.
• Troubleshoots data issues and provides solutions.
• Leads and manages a team of data engineers.

Skills

Data analysis

Data warehousing

ETL processes

Data integration

Team leadership

Education

Degree in an analytical field

Job description

Job title: Data Engineer

Job Location: Gauteng, Johannesburg

Deadline: November 08, 2025

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Operational Delivery

• Gathers business requirements, executes projects and derives business insights.
• Collects data and builds fit for purpose dashboards and reports based on requirements.
• Troubleshooting of data issues and providing fit for purpose solutions with data engineering best practices.
• Complete projects / tasks assigned or working with other staff (internal / external) and following up on assigned projects / tasks. Partnering with business stakeholders to unpack data management requirements and design for future requirements based on future needs.
• Collaborate with stakeholders across the organization to ensure data quality, accuracy, and security.
• Lead and manage a team of data engineers responsible for designing, building, and maintaining robust data infrastructure and systems.

Data Engineering

• Design and implement robust Extract Transform Load (ETL) frameworks and processes.
• Design and implement robust data integration strategies and processes.
• Develop and implement data management (architecture and 1 / 3 o integration) policies, procedures, and best practices. Manage data engineering projects and ensure timely delivery of high-quality results.
• Develop and implement databases, data collection systems and enable data analytics.
• Acquire and integrate data from different sources and enable integrated reporting.
• Recruit, train, and mentor data engineering team members to promote growth and professional development.

Qualification Requirements

• A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce Certification advantageous (SQL, Data Engineering, Architecture, Ab Initio etc.)

Education and / or Experience

• 4-7 years of experience in data engineering or a related field
• Data warehousing and integration experience
• Ability to perform complex data analysis and data deep dives Experience in building large data repositories.
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