Data engineers who build the foundation AI runs on.
Pipelines, models and data quality your analytics and AI teams can trust, built by engineers vetted by someone who has done the work.
What a strong hire does.
Every AI project depends on clean, timely, well-governed data. When the data layer is shaky, models underperform and dashboards disagree. Data and analytics engineers fix that at the source.
- Batch and streaming pipelines from your source systems
- Cloud data platforms such as Snowflake and Databricks
- Transformation and modelling with dbt
- Data quality tests, lineage and documentation
- Access control and governance for sensitive data
- Analytics-ready models for BI and AI teams
Signs you need one now.
Your AI or analytics projects are blocked on data
You're migrating to a modern cloud data platform
Reports disagree and nobody trusts the numbers
Interviewed by someone who has done the job.
- SQL and Python at production quality
- Data modelling and warehouse design
- Orchestration, testing and observability
- Cost and performance tuning on cloud platforms
- Governance, privacy and access control
- Working with analysts and business stakeholders
Every candidate is also rated Strong, Solid or Developing on our six dimensions. Only those rated Strong on all six reach you. See the full process →
- "Walk us through a pipeline you built. What broke first?"
- "How did you test data quality, and who got alerted?"
- "How did you keep platform costs under control?"
The right model for this role.
Contract or direct hire
Platform migrations suit contract specialists; a permanent data team suits direct hire.
30-day replacement
If a placement doesn't work out in the first 30 days, we replace them at no extra fee.
Free scoping call
30 minutes, then a written role brief within 48 hours. No fee until a candidate starts.
Questions we hear most.
What's the difference between a data engineer and an analytics engineer?
Data engineers build and run the pipelines and platform that move data. Analytics engineers model and test that data, often in dbt, so analysts and AI teams can use it. We recruit both and clarify which you need on the scoping call.
Can you find engineers for a Snowflake or Databricks migration?
Yes. Platform migrations are a common reason to hire data engineers on contract. The role brief names the platforms, and we look for candidates who have done similar migrations.
Do you check data governance skills?
Yes. Governance, privacy and access control are part of every data engineering interview, and responsible AI is one of our six scorecard dimensions.
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