Data Engineer

Liyema Consulting Group; Johannesburg; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary bonuses

Health and retirement benefits

Professional development opportunities

Cutting-edge data infra

Sandton location

Job summary

Liyema Consulting Group in Randburg is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics and BI initiatives. You will work with data scientists and ML engineers, optimize data ingestion and storage, and contribute to data warehousing on cloud platforms.

This permanent, hybrid role offers a competitive salary, ongoing professional development, and the opportunity to work on cutting-edge data infrastructure in a dynamic

Qualifications

• Bachelor's or Master's degree in CS/Engineering or related field.
• 5+ years of data engineering experience with exposure to AI/ML projects.
• Proficiency in SQL; Python or Scala programming.
• Experience with Spark, Hadoop, and cloud data platforms (AWS/Azure/GCP).
• Strong data modeling, ETL/ELT, and data warehousing fundamentals.

Responsibilities

• Design, build, and maintain scalable data pipelines for AI/ML applications.
• Optimize data ingestion, transformation, and storage 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 data needs and provide solutions.
• Develop and manage data warehousing solutions and big data platforms.

Skills

Data engineering experience

SQL

Python

Scala

Spark/Hadoop

Cloud platforms (AWS, Azure, GCP)

Data modeling & ETL/ELT

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

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.

USA Job Seekers: EEO Know Your Rights.