Data Engineer: Scalable ETL Pipelines & Cloud Data

Network Contracting

Johannesburg

On-site

ZAR 600,000 - 1,200,000

Full time

7 days ago
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Job summary

Network Contracting in South Africa is looking for an experienced Data Engineer to join our talent database for current and future opportunities. You will focus on building scalable data pipelines, ingestion, ETL/ELT, and data modelling to support analytics and reporting.

Ideal candidates have strong SQL skills, hands-on experience with cloud data platforms, Python, and orchestration tools, and a track record of delivering reliable data solutions.

Qualifications

  • 4+ years of experience in data engineering or ETL development.
  • Strong SQL and data pipelines experience.
  • Experience with relational databases, data modelling and data quality controls.
  • Cloud data platforms, Python, orchestration tools or streaming technologies are advantageous.

Responsibilities

  • Develop and maintain reliable data pipelines for batch and/or streaming data ingestion.
  • Build ETL/ELT processes and transform data for analytics, reporting and downstream applications.
  • Design and optimise data models, database queries and data integration workflows.
  • Monitor pipeline quality and performance, troubleshoot issues and document data processes.

Skills

SQL
Data modelling
Database performance awareness
ETL/ELT
Data ingestion
Data transformation
Pipeline orchestration
Python scripting
Cloud data services

Education

Degree/diploma in Computer Science / Information Systems / Data Engineering
Certifications in cloud, database or data engineering

Job description

Network Contracting in South Africa is looking for an experienced Data Engineer to join our talent database for current and future opportunities. You will focus on building scalable data pipelines, ingestion, ETL/ELT, and data modelling to support analytics and reporting.

Ideal candidates have strong SQL skills, hands-on experience with cloud data platforms, Python, and orchestration tools, and a track record of delivering reliable data solutions.

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