Data Engineering Jobs in South Africa
There are 678 open Data Engineering jobs in South Africa on freehire right now. 298 of them were posted recently. The skills employers ask for most often are sql, data-pipelines and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| ZAR | year | ZAR 950,000 | ZAR 1,200,000 | ZAR 1,225,000 | 23 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 68%
- data-pipelines 58%
- cloud 58%
- data-engineering 56%
- python 54%
- analytics 52%
- etl 46%
- azure 43%
How the work is done
- Hybrid 55 · 8%
- Remote 35 · 5%
- Onsite 7 · 1%
Visa sponsorship offered in 6% of the 16 postings that state a position on it.
Seniority
- Senior 215
- Lead 55
- Junior 28
- Principal 7
- Middle 6
- Intern 5
Who is hiring
- 1000+ employees 40
- 501-1000 employees 18
- 11-50 employees 7
- 51-200 employees 3
- 201-500 employees 2
Junior - Intermediate Data Engineer
Builds and maintains SQL Server reports and databases, writes T-SQL queries, and supports BI solutions for business users.
Fraud Data Engineering & Analytics Leader
Lead the design and implementation of data platforms for fraud detection and risk analytics at a major bank, focusing on real-time decisioning, AI initiatives, and regulatory compliance.
Data Engineer
Design and scale cloud-based data platforms and pipelines to power analytics, AI, and reporting for a global beverage leader’s digital transformation.
Ai data engineer: build scalable pipelines & feature stores
Design and build scalable data pipelines and feature stores to power AI models, ensuring data accuracy and compliance across teams.
Senior data engineer
Leads design and maintenance of scalable data pipelines and ETL processes for UK clients, using Python, Spark, SQL, and cloud platforms to ensure reliable, high-performance data infrastructure.
Ai data engineer
Designs and maintains AI-ready data pipelines and feature stores to power ML models and generative AI solutions, ensuring data quality, lineage, and compliance.
Senior big data engineer: cloud-scale data platforms
Design and optimize cloud-scale data platforms, building ingestion pipelines, ETL/ELT solutions, and scalable data stores for analytics and ML workloads.
Data Engineer: Build Scalable Cloud Pipelines
Designs and builds scalable cloud data pipelines on AWS/Azure/GCP using Kafka, Spark, Python, and SQL to transform raw data into insights for a fintech company.
Data Engineer
Build and maintain ETL/ELT pipelines, optimize SQL queries, and ensure data reliability in cloud environments for a data-driven organization.
Data Engineer
Build and validate data pipelines for insurance/finance, transforming raw inputs into trusted reports using SQL, Power BI, and Excel.
Intermediate Data Engineer
Build and maintain scalable data pipelines using Databricks, Apache Spark, and Azure, automating workflows and CI/CD to deliver reliable, high-performance data solutions.
Data Engineer
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Data Engineer
Designs and maintains automated data pipelines and warehouses using SQL and Python to process and integrate business data.
Data Engineer
Manage a team building cloud-scale data pipelines and AI-ready data products on Azure to power ML and Generative AI solutions.
Cloud Engineer (Data Engineering Focus)
Build and maintain scalable Azure data pipelines (batch & real-time) using Python, PySpark, and Azure services like Synapse and Databricks to power analytics and ML.
Data Engineer
Build and maintain data pipelines on GCP and Snowflake that feed marketing analytics and AI/ML applications, using Matillion, Rudderstack, and Amplitude.
Senior Data Scientist (Azure Data Engineering & MLOps)
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Databricks Data Engineer
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric to ingest, process, and transform financial data for analytics and AI initiatives.