Data engineers — hire in 2 days
Senior data, BI, cloud, data-quality and AI/ML engineers for your team — vetted and matched to your stack and time zone.
- Data Engineering
- BI & Analytics
- Data Quality
- Cloud
- AI / ML
Engineers available now
Stacks we cover
Databricks
Snowflake
dbt
Spark
Kafka
Airflow
AWS
Azure
Google Cloud
BigQuery
Power BI
Python
What our engineers build
Data pipelines
Batch and streaming ETL/ELT with Spark, Kafka, Airflow and dbt.
Warehouses & lakehouses
Snowflake, Databricks, BigQuery and Redshift, modeled for analytics and AI.
Data quality
Tests, contracts and monitoring, so reports and models run on data you can trust.
Governance & security
Lineage, access control and careful handling of sensitive data.
Building with LLMs or agents?
We set up the data layer they depend on — pipelines, retrieval (RAG), lineage and access control — so models work on trusted, governed data instead of hallucinating on messy inputs.
In-house hiring vs Datarob
Hiring in-house
- Weeks or months to source, interview and close a candidate
- Recruiter fees and hiring overhead
- Contracts, payroll and admin on your side
- A wrong hire is slow and costly to undo
With Datarob
- Engineers available now — hire in 2 days
- Sourcing and vetting done for you
- We handle contracts and payroll
- Scale up or down as your work changes
How to hire a data engineer in 2 days
A typical timeline for our core stacks. Niche skills can take a little longer — we’ll tell you on the first call.
15-min call
Matching CVs
Interview & choose
Your engineer joins
Scale up or down
Why we are different
Ready to add data engineers?
Research of your stack, sources and data needs
A vetted engineer’s CV to review upfront
Architecture recommendations
A scoped pilot task
Tell us who you need
Book a 15-min call or send us the role and stack — we’ll come back with matching engineers you can interview right away. Everything stays private, and we’re happy to sign an NDA first.