Experts / Build with AI / Data engineers
Data engineers for AI.
Engineers who build the pipelines, warehouses and data quality checks that AI products run on.
What data engineers do.
Each one has run production data platforms and is AI-interviewed on data engineering work.
Ingest
Reliable pipelines from your sources into one place.
Model
Warehouse and lakehouse models that analysts and models can trust.
Prepare
Clean, label-ready datasets for training and retrieval.
Monitor
Data quality checks and lineage that catch problems early.
Specialities: SQL · dbt · Spark · Airflow · Snowflake · BigQuery · Vector databases
Questions
Anything else? Talk to us and a specialist will reply.
How do you vet data engineers?
Every candidate passes an AI interview on real data engineering work and is scored L1 to L5. A senior reviewer checks the top scorers before you see a shortlist.
How fast can we meet candidates?
Most roles get a scored shortlist within a week of the hiring call. You only pay when you hire.
Can we hire on contract or full-time?
Both, plus contract-to-hire. For contract roles we handle contracts, payroll and compliance in each country.
I'm a data engineer. How do I join?
Apply with the short form on our Find work page. You take one AI interview in data engineering, and we match you to roles that fit your skills.
Is the work remote?
Yes. Roles are remote-first, with the time-zone overlap agreed for each role.