Data Engineer
Summary
Data Engineer building and maintaining Azure data platforms using Microsoft Fabric, Databricks, ADLS Gen2, and Synapse Analytics, with strong ETL/ELT design and data modelling responsibilities.
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