Data pipelines
Build and run the pipelines your platform depends on.
Data Engineering
Data Engineers Who Build Reliable Platforms
Embed senior South African data engineers to build reliable data pipelines, platforms and analytics foundations alongside your existing team.
Discuss Your Engineering Needs
Remote contract engagements · Team augmentation · South African engineering talent
Data engineering for production delivery
Add engineering capacity for the data foundations your business depends on.
Platforms and architecture
Design the platform and data model before pipeline implementation.
Analytics engineering
Turn data outputs into metrics your business can use.
Data roles we embed
Data Engineer
Builds and runs the pipelines everything else stands on.
Data Architect
Designs the platform and the data model. Before anyone writes a pipeline.
Analytics Engineer
Turns the output into the numbers your business decides on.
Core technology stack
- Python
- SQL
- dbt
- Airflow
- Snowflake
- Databricks
- PostgreSQL
- AWS
- Azure
- Google Cloud
- BigQuery
Discuss your requirements across these technologies and skills. We confirm the right experience and candidate availability for each engagement.
An engagement that fits your team
One engineer or several
Add an individual engineer or expand capacity within one discipline, according to your delivery needs.
Part of your existing team
Remote contract engineers collaborate with your developers and technical leaders within your existing delivery process.
Cross-functional engineering
Combine software engineering with data and AI expertise when your project needs more than one discipline.
When data engineering capacity matters
- Building and running reliable data pipelines
- Designing or improving a data platform
- Adding delivery capacity alongside your existing data team
- Turning data into usable analytics and business metrics
Match the engineer to the work
Tell us what you are building, the technology you use and what the engineer will own. We assess the required experience and confirm candidate fit and availability before agreeing an engagement. Technology expertise and timelines are matched to the role, not assumed.
Let’s Build Your Data Engineering Capacity
Discuss your data platform, pipeline or analytics delivery needs and the engineer who will own the work.