Help build and maintain data infrastructure, data integrity and automation.
Is this you?
Analytical and detail-obsessed, you take ownership, define solutions independently and get hands-on to make things work. You’re passionate about programming and data quality, comfortable partnering with business teams, and keen to grow your craft. Exposure to financial services/investments is a plus.
What you’ll be doing
Designing and automating robust data pipelines between business applications. Building ETL/ELT processes, scheduling workflows and reducing manual handling. Setting up validation rules and quality checks, monitoring accuracy and completeness, and troubleshooting discrepancies. You’ll document data flows, translate business needs into technical solutions, and support critical daily/weekly operations.
Where you’ll be doing it
With a forward-thinking, data-led organisation that values ownership and pragmatic engineering. You’ll join a small, collaborative team focused on reliable, scalable data foundations and continuous improvement. This is a 5 days in office role.
What you’ll need
Solid SQL skills (PostgreSQL/SQL Server), plus programming experience in C# and/or TypeScript. Understanding of data engineering concepts (pipelines, ETL/ELT, scheduling, validation). Strong analytical mindset, attention to detail, and a bias for action. A relevant degree (Finance, Engineering, Computer Science, Mathematics) and 1-2 years’ experience are essential.
What you’ll get
A market-related package, meaningful ownership of your work, mentorship, and clear growth opportunities as you help mature a modern data platform with real business impact.
How to apply
For a confidential discussion please contact Judy Engelbrecht on [Phone Number Removed]; or send your CV to [Email Address Removed]. We appreciate that your CV might not be fully up to date. No problem, just send us what you have. We do respond to everyone! Just give us a few days to work through your application.
Desired Skills:
- SQL
- PostGreSQL
- SQL Server
- C#
- Typescript
- Data Engineering pipelines
- ETL
- ELT
Desired Work Experience:
- 1 to 2 years
Desired Qualification Level:
- Degree