Hire a remote data engineer.
A data engineer to build pipelines people can trust — reliable ingestion, tested transformations, and a warehouse your analysts stop apologising for.
Hire a data engineer →What a remote data engineer does for you
- Builds and maintains ingestion pipelines from your sources
- Models data in the warehouse with tested transformations
- Monitors pipeline health and fixes failures before anyone notices
- Documents lineage so numbers can be traced to source
- Manages warehouse cost and query performance
What we vet for
- SQL depth tested well beyond basic joins
- Pipeline design exercise with failure handling
- Tooling: dbt, Airflow, Fivetran, Snowflake, BigQuery
- Data quality and testing discipline
- Cost awareness in warehouse design
Recruited and vetted to your requirement. We do not keep a standing bench for Engineering & Data — we would rather tell you that than imply a shortlist exists before you have described the job. We source and vet against your brief, you review the shortlist, and you interview before anyone starts.
Hiring a remote data engineer
Do I need this or an analyst?
If nobody trusts the numbers, a data engineer. If the numbers are fine but nobody is using them, an analyst. Getting this backwards wastes a quarter.
Can they set up a warehouse from scratch?
Yes. Greenfield is often easier to vet for than inheriting a tangle.
How does hiring work?
Engineering is recruited and vetted to your requirement. You interview the shortlist.
Which warehouse do they work in?
Yours — Snowflake, BigQuery, Redshift or Postgres are the common ones.
Other Engineering & Data roles
Builders and data people, vetted on real work rather than puzzles.
Put a vetted data engineer to work for you.
Tell us the role and your setup. We will come back with a shortlist and an honest view of whether we are the right fit.
Start hiring →