Data Engineering
AI and analytics are only as good as the data behind them. We design databases, build pipelines that move and clean your data, and keep it reliable and secure.
What's included
Database design
Schemas that are fast, consistent and ready to grow.
Database management
Performance tuning, backups, security and monitoring.
Data pipelines
Automated flows that collect, clean and combine data from many sources.
Migrations
Move data between systems without loss or downtime.
Reporting
Dashboards and reports your team can trust.
Data for AI
Preparing clean, labelled datasets for machine learning.
Four steps. No surprises.
- 01
Discover
A free call to understand the problem, users and budget. You get a written scope and fixed quote.
- 02
Design
Wireframes, then a clickable prototype you can try before production code is written.
- 03
Build
Short sprints with a working demo at the end of each one, so you always see progress.
- 04
Launch & support
Deployment, handover of code and documentation, and ongoing support when you need it.
Good for
- Companies with data scattered across tools and spreadsheets
- Teams preparing for AI or analytics
- Systems with slow or unreliable databases
Questions
Which databases do you work with?
Common relational and NoSQL databases. Tell us what you use and we will confirm fit during discovery.
Can you work with our existing data?
Yes. Most projects start with an audit of the data you already have.
Is our data secure during the work?
We sign an NDA, use least-privilege access and follow the security rules you set.
Let's build something.
Software, data or AI: tell us about your project and get a fixed quote within one business day.
Start a project