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Data Engineer

Job in Johannesburg, 2000, South Africa
Listing for: Liyema Consulting Group
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Engineering
Job Description & How to Apply Below
Job Description

Our client is seeking a skilled Senior Data Engineer to join their analytics division in Randburg
. This role is vital in designing, building, and maintaining scalable data pipelines and infrastructure that support advanced analytics and business intelligence initiatives.

Reference number:
NG60984

Location:

Johannesburg

Contract:

Permanent
, Hybrid

Salary: up to R1.00mil per annum, negotiable based on experience.

Key Responsibilities
  • Design, build, and maintain scalable and reliable data pipelines for AI/ML applications.
  • Optimize data ingestion, transformation, and storage processes for efficiency and performance.
  • Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
  • Collaborate with data scientists and ML engineers to understand their data needs and provide appropriate solutions.
  • Develop and manage data warehousing solutions and big data platforms.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of experience in data engineering, with significant exposure to AI/ML projects.
  • Proficiency in SQL and at least one programming language such as Python or Scala.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud data platforms (AWS, Azure, GCP).
  • Solid understanding of database design, data modeling, and ETL/ELT processes.
Benefits
  • Competitive salary and performance bonuses.
  • Comprehensive health and retirement benefits.
  • Opportunities for professional development and continuous learning in data engineering and AI.
  • Work on cutting‑edge data infrastructure supporting AI innovation.
  • Collaborative environment in the heart of Sandton
    .

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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