Senior Data Engineer

Africonology; Johannesburg; On-site; ZAR 1,000,000 - 1,400,000; Full time

Job summary

Africonology in Johannesburg is seeking a Senior Data Engineer to lead the design and implementation of enterprise data solutions supporting strategic initiatives, analytics, AI, and regulatory compliance.

The role collaborates with data scientists, analysts and stakeholders to ensure data availability, reliability and quality across platforms, delivering secure, compliant data pipelines and scalable architectures.

Qualifications

• 8+ years' Data Engineering experience.
• Mandatory banking sector experience.
• Experience leading data engineering teams.
• Degree in Computer Science, Engineering, Information Systems, or equivalent.

Responsibilities

• Design enterprise-scale data architectures.
• Lead complex data integration and migration projects.
• Build high-performance data pipelines.
• Define data engineering best practices and standards.
• Mentor junior and mid-level engineers.
• Improve data platform performance and scalability.
• Support cloud-based data initiatives.

Education

Degree in Computer Science, Engineering, Information Systems, or equivalent

Tools

Advanced SQL

Python

Spark

Data Lake Architecture

Data Warehousing

AWS or Azure Data Services

CI/CD

Data Governance

Job description

Senior Data Engineer

Location: Gauteng, Johannesburg

Job Type: Contract, Full-Time hours

Job Description

The Senior Data Engineer lead the design and implementation of enterprise data solutions that support strategic banking initiatives, advanced analytics, AI, and regulatory compliance requirements.This role involves working closely with data scientists, analysts, and other stakeholders to ensure the availability, reliability and quality of data across various platforms and systems. The Senior Data Engineer plays a key part in enabling data-driven strategies by delivering efficient, secure and compliant data solutions that meet regulatory requirements.

Key Responsibilities

• Design enterprise-scale data architectures.
• Lead complex data integration and migration projects.
• Build high-performance data pipelines.
• Define data engineering best practices and standards.
• Mentor junior and mid-level engineers.
• Improve data platform performance and scalability.
• Support cloud-based data initiatives.

Required Qualifications

• Degree in Computer Science, Engineering, Information Systems, or equivalent.
• 8+ years' Data Engineering experience.
• Mandatory banking sector experience.
• Experience leading data engineering teams.

Technical Skills

• Advanced SQL
• Python
• Spark
• Data Lake Architecture
• Data Warehousing
• AWS or Azure Data Services
• CI/CD
• Data Governance