Data Engineer

Magnus Consulting Solutions Pty Ltd; Johannesburg; On-site; ZAR 720,000 - 1,100,000; Full time

Job summary

Magnus Consulting Solutions Pty Ltd in Johannesburg, South Africa seeks a senior platform and data engineer with strong Azure data platform expertise. The role focuses on building data pipelines, data models and warehouse solutions using Fabric, Databricks, and Synapse.

The candidate should demonstrate hands-on skills in T-SQL, Python and Spark, with experience in data governance tools and agile collaboration with stakeholders. SA market exposure is a plus.

Qualifications

• Solid hands-on experience as a platform and data engineer (intermediate to senior level).
• Strong Azure data platform expertise including Fabric, Lakehouse, Data Pipelines and notebooks.
• ETL/ELT design, data modelling (Kimball, Data Vault 2.0) and warehousing experience.
• Proficient in T-SQL, Python and Apache Spark.
• Exposure to data governance tools such as Unity Catalog and Purview.
• Agile work practices with strong communication and stakeholder engagement.

Skills

Platform & Data Engineering

Azure Data Platform

ETL/ELT Design

Data Modeling (Kimball, Data Vault 2.0

T-SQL

Python

Apache Spark

Agile & Stakeholder Engagement

Data Governance Awareness

Azure Certifications (AZ-900)

Education

AZ-900

DP-600/DP-700/DP-203

Tools

Azure Data Factory

Databricks

ADLS Gen2

Azure Synapse Analytics

Event Hubs

Stream Analytics

Databricks Unity Catalog

Microsoft Purview

Job description

Magnus Consulting Solutions Pty Ltd | Full time

Johannesburg, South Africa | Posted on 08/19/2026

CoreSkills:

• Solid hands-on experience as aplatform and data engineer (intermediate to senior level)
  
• Strong Azure data platformexpertise — Microsoft Fabric (Lakehouse, Warehouse, Data Pipelines,notebooks, semantic models), Azure Data Factory, Databricks, ADLS Gen2,Azure Synapse Analytics, Event Hubs and Stream Analytics
  
• Proven ETL/ELT design, datamodelling (Kimball, Data Vault 2.0) and warehousing experience
  
• Strong T-SQL, Python and ApacheSpark capability
  
• Exposure to data governancetooling such as Databricks Unity Catalog and/or Microsoft Purview
  
• Agile ways of work, with strongcommunication and stakeholder engagement skills
  
• Relevant Azure certifications(AZ-900 and one of DP-600 / DP-700 / DP-203) and financial servicesexperience would be advantageous