Hire Data Engineers
Pipelines, warehouses, and lakehouses — built to last.
Our data engineers design and build high-volume ingestion pipelines, cloud data warehouses, and streaming architectures. Every engineer has production experience with the tools your stack uses — not tutorial-level familiarity.
5 days
To onboard
40–60%
Cost vs local hiring
72h
Profiles delivered
15+
Years experience
What they'll do for your team
Concrete responsibilities, not job-description boilerplate.
Build ingestion pipelines
Ingest from APIs, databases, event streams, and files into your data warehouse or lakehouse.
Design warehouse schemas
Data modelling, partitioning strategy, and query optimisation for analytical workloads.
Own data quality
Implement validation frameworks, freshness monitoring, and schema drift detection.
Enable analytics teams
Build dbt models, semantic layers, and data marts that non-engineers can use confidently.
Skills & technologies
Processing
Warehouses
Streaming
Orchestration
How the hiring process works
From first message to productive engineer, in 5 business days.
Share requirements
Stack, scale, and team composition you need.
Receive profiles
2–3 pre-vetted data engineers in 72 hours.
Technical interview
Pipeline design review and SQL/Spark assessment.
Onboard in 5 days
Contracts, access, and first sprint ready.
Engagement models
Choose what fits. Switch at any time with 2 weeks notice.
Full-time dedicated
- 40h/week
- Embedded in your data team
- Daily standups
- Scales with your roadmap
Part-time / Fractional
- 20h/week
- Ongoing maintenance and improvements
- Cost-effective for smaller pipelines
- Scale up easily
Project-based
- Migration or build projects
- Fixed timeline and cost
- Full documentation and handoff
- Post-launch support
Ready to hire a Data Engineers?
Share your requirements and we'll send you shortlisted profiles within 72 hours.
Profiles in 72 h · NDA available · No commitment to start