Senior Data Engineer – Databricks

Sasso Consulting (Pty) Ltd; Johannesburg; On-site; ZAR 796,000 - 1,133,000; Full time

Job summary

Sasso Consulting (Pty) Ltd seeks a Senior Data Engineer in Johannesburg to design and implement data pipelines using Databricks. The role emphasizes hands-on Databricks expertise, Python/PySpark, and SQL within an insurance sector context.

Hybrid work requires 2-3 days on-site in Parktown. The ideal candidate will build scalable data platforms, optimize data transformations, and troubleshoot production solutions in complex enterprise environments.

Qualifications

• Strong, recent and hands-on Databricks experience – essential.
• Strong Python / PySpark and SQL.
• Extensive ETL/ELT and data pipeline development experience.
• Experience building and maintaining scalable data platforms.
• Data modelling, transformation and optimisation experience.
• Performance tuning and troubleshooting of production data solutions.
• Ability to operate effectively within complex enterprise environments.
• Insurance experience advantageous.
• Must be able to work 2-3 days per week onsite in Parktown.
• Rate must fall within the stipulated budget.

Skills

Databricks

Python/PySpark

SQL

ETL/ELT

Data pipelines

Data modelling

Performance tuning

Troubleshooting

Insurance domain

Hybrid work

Job description

Location: Parktown, Johannesburg
Working Model: Hybrid - 2-3 days per week in the Parktown office (non-negotiable)
Rate: Maximum R700/hour
Level: Senior
Industry: Insurance / Financial Services

We are seeking a highly experienced Senior Data Engineer to join a well-established organisation within the insurance sector.

The successful candidate must have strong, proven, hands-on Databricks experience. This is an absolute non-negotiable requirement, and candidates with only limited exposure to Databricks will not be considered.

Key Requirements

• Strong, recent and hands-on Databricks experience – essential
• Strong Python / PySpark and SQL
• Extensive ETL/ELT and data pipeline development experience
• Experience building and maintaining scalable data platforms
• Data modelling, transformation and optimisation experience
• Performance tuning and troubleshooting of production data solutions
• Ability to operate effectively within complex enterprise environments
• Insurance experience advantageous
• Must be able to work 2-3 days per week onsite in Parktown
• Rate must fall within the stipulated budget

Please note: Databricks expertise and the Parktown hybrid requirement are both non-negotiable.

Senior Data Engineer – Databricks Johannesburg, South Africa