Senior Data Engineer (Fabric, Databricks & Cloud Data Platforms)

DVT; Johannesburg; On-site; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Mentorship

Professional development

Sponsored events

Job summary

DVT is a leading software development consultancy in South Africa, seeking a Johannesburg-based Senior Data Engineer with deep Microsoft Fabric and Databricks expertise. The role is onsite in Sandton, supporting enterprise clients with modern data platforms.

Responsibilities include building scalable data platforms, leading migrations to Fabric/Databricks, and mentoring junior engineers while delivering end-to-end data solutions and governance.

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 / T-SQL

Delta Lake

Lakehouse architecture

Semantic modelling

Kimball dimensional modelling

CI/CD practices

Azure data services

AWS data platforms

Education

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

Tools

Databricks

Power BI

Job description

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 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