Senior data engineer (fabric, databricks & cloud data platforms)
Dvtcareers · Johannesburg, South Africa ·
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 3+ years
Dvtcareers · Johannesburg, South Africa ·
DVT, a South African software consultancy, is hiring a Senior Data Engineer to design and build Microsoft Fabric and Databricks data platforms for enterprise clients. Day-to-day work covers ETL/ELT pipelines (PySpark, Python, SQL), Delta Lake/Unity Catalog governance, lakehouse (medallion) architecture, SQL Server migrations, Power BI semantic models, and mentoring junior engineers.
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.
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 Py Spark, 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 SkillsMicrosoft Fabric
Databricks (Unity Catalog preferred)
Spark / Py Spark
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, One Lake, Purview)
AWS data platforms (Glue, S3, Redshift)
Minimum Experience8+ 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 AreA 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 #J-18808-Ljbffr