Senior Data Engineer: Fabric & Databricks Cloud Platforms

dvtcareers

Johannesburg

On-site

ZAR 900,000 - 1,300,000

Full time

14 days+
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Job summary

DVT, a leading software development consultancy in Africa, is seeking a Johannesburg-based Senior Data Engineer to design and deliver modern, scalable data platforms using Microsoft Fabric and Databricks, onsite in Sandton.

You will lead migrations from SQL Server to Fabric/Databricks, build ETL/ELT pipelines with PySpark, and implement Delta Lake governance, lakehouse architectures, and semantic models to power Power BI reporting.

Qualifications

  • 8+ years in Data Engineering.
  • 3+ years hands-on Databricks delivery.
  • Proven track record in data migration and modernisation.
  • Consulting or client-facing experience.
  • Bachelor's degree in Computer Science, Engineering, or equivalent.

Responsibilities

  • Design and build scalable Microsoft Fabric and Databricks data platforms.
  • Lead SQL modernisation and migration from SQL Server to Fabric/Databricks.
  • Build ETL/ELT pipelines using PySpark, Python, and SQL.
  • Implement Delta Lake, Unity Catalog, and Purview governance.
  • Design lakehouse and medallion architectures (Bronze/Silver/Gold).
  • Build semantic models and support Power BI reporting.
  • Apply Kimball dimensional modelling best practices.
  • Mentor junior engineers and contribute to technical best practices.

Skills

Microsoft Fabric
Databricks
Spark/PySpark
SQL Server
Delta Lake
Lakehouse Architecture
Semantic Modelling
Power BI
Kimball Modelling
CI/CD
Azure Data Services
AWS Data Platforms

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Job description

DVT, a leading software development consultancy in Africa, is seeking a Johannesburg-based Senior Data Engineer to design and deliver modern, scalable data platforms using Microsoft Fabric and Databricks, onsite in Sandton.

You will lead migrations from SQL Server to Fabric/Databricks, build ETL/ELT pipelines with PySpark, and implement Delta Lake governance, lakehouse architectures, and semantic models to power Power BI reporting.

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