Senior Data Engineer (Fabric, Databricks & Cloud Data Platforms)
At DVT · Johannesburg, Gauteng, South Africa
- Data and ML
- Contract
- Senior
Where you’ll work
Hybrid, based in Johannesburg
“Johannesburg, Gauteng, South Africa”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 26 May 2026
- First seen by us
- 12 October 2026
- Last checked
- 21 hours ago
Job description
From DVT’s job post, as they wrote it.
DVT is one of Africa’s leading software development consultancies, partnering with top organisations across South Africa and globally to deliver innovative, enterprise-grade technology solutions.
At DVT, our engineers work on complex, high-impact projects using modern cloud and data technologies while collaborating with some of the strongest technical talent in the industry. We are passionate about continuous learning, technical excellence, and growing our people through mentorship, technical communities, sponsored events, and ongoing professional development.
Read the full description
We are looking for a Johannesburg-based Senior Data Engineer with deep Microsoft Fabric and Databricks expertise to help design and deliver modern, scalable data platforms for enterprise clients. This role will be onsite in Sandton.
What You'll Be Doing
* 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
Essential Skills
* Microsoft Fabric
* Databricks (Unity Catalog preferred)
* Spark / PySpark
* SQL Server / T-SQL
* Delta Lake / Delta Tables
* Lakehouse architecture (Bronze/Silver/Gold)
* Semantic modelling / Power BI
* Kimball dimensional modelling
* CI/CD practices
* Azure data services (Synapse, ADF, OneLake, Purview)
* AWS data platforms (Glue, S3, Redshift)
Minimum Experience
* 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
You Are
* A strong technical leader who owns complex delivery outcomes
* Comfortable engaging directly with clients and stakeholders
* A proactive problem-solver with excellent analytical skills
* Passionate about mentoring and uplifting engineering teams
Why Join DVT?
* Work on enterprise-scale data transformation projects
* Collaborate with top-tier engineering talent
* Grow through continuous learning and mentorship
* Be part of a people-first engineering culture
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