Data Engineering
Get your business data into one reliable place, so reports stop contradicting each other.
What this involves
We design the layer your reporting, applications and decisions sit on: ingestion from operational systems, transformation you can audit, and a warehouse that stays correct as volume grows.
Tools we typically use
- Python
- SQL
- PostgreSQL
- Apache Airflow
- Apache Spark
- AWS
Included
- ETL and ELT pipelines
- Data warehousing
- Data migration
- Database architecture
- Data integration
- Data quality checks
- Batch and scheduled processing
- Cloud data infrastructure
Often combined with
Common questions
How much does it cost?
Every project gets a fixed price in writing before work starts, after a free 30-minute call. Small business packages show a starting price; larger builds are quoted from the scope we agree together.
How long does it take?
You get an end date in the written quote before anything is built. Small business packages are short, fixed-scope projects; larger platforms are delivered in stages so you see working software early.
Do I own the code?
Yes. You own the code and the accounts it runs on, and we show your team how to run it.
What if I need changes later?
Tell us. Small changes after handover can be agreed as a short follow-on job or an ongoing support arrangement. We will explain the options on the call.
Need data engineering?
Send the problem and the systems involved. You get a written scope before anything is built.
Discuss this service