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Data Engineer

Build data pipelines and platforms that enable reliable analytics and AI.

payments Avg: R60,000

description Overview

Data Engineers design ETL/ELT pipelines, manage data warehouses/lakes, and support data quality and governance. In South Africa, demand is strong in finance, retail, and tech.

**A Day in the Life:**
Pipeline development, monitoring, fixing data issues, and collaborating with analysts and ML teams.

schedule A Day in the Life

09:00

Check pipeline health and incident queue

10:30

Build/maintain ETL pipelines

13:00

Data modelling and performance tuning

15:30

Support analytics/ML needs and documentation

trending_up Career Path

Step 1

Junior Data Engineer

0-2

Step 2

Data Engineer

2-5

Step 3

Senior Data Engineer

5-8

Step 4

Data Engineering Lead / Architect

8+

Vital Statistics

Salary Range

R 35,000 - R 100,000

Soft Skills

lightbulb Problem-Solving description Documentation biotech Critical Thinking fact_check Attention to Detail edit Professional Writing analytics Analytical Thinking groups Stakeholder Management chat Communication sync Adaptability schedule Time Management groups Teamwork laptop_mac Digital Literacy verified Ethics & Integrity badge Professionalism favorite Emotional Intelligence theater_comedy Creativity trending_up Leadership

Technical Skills

api API Design (REST/GraphQL) sync CI/CD Pipelines security Cybersecurity Fundamentals analytics Data Analysis lock Data Privacy & Handling dns Docker merge Git / Version Control terminal Linux Administration (Basics) terminal Linux Basics monitor_heart Observability (Logs/Metrics/Tracing) Basics lock POPIA/GDPR Data Protection Basics api Postman / API Testing bar_chart Power BI storage SQL (Advanced) bug_report Test Automation