Discipline
Data and analytics recruiters.
Data engineers, analytics engineers, and analysts who build the pipelines and the insight on top of them.
How this market works
What this search really turns on.
Pipelines versus dashboards
Building reliable data infrastructure is a different job than analyzing what comes out of it. We match on which one someone has actually owned.
Scale and freshness
Batch at rest and streaming at volume are different disciplines. We screen on the data size and latency someone has really worked with.
Modern stack, real depth
Knowing the tools by name is not the same as running them under load. We look for the person who has debugged the pipeline at 2am.
Impact over volume
We screen for people whose work changed a decision, not who shipped the most dashboards nobody opened.
Plain answers
Questions, answered straight.
What roles does this cover?
Data engineers, analytics engineers, BI and data analysts, and the leaders who build data teams.
Is this the same as AI and machine learning?
Related but not the same. Data teams build the foundation ML runs on; when a role is really about building models, it lives in the AI and machine learning hub.
Standing up data, or ready for your next data role?
Tell us what you are building. The first conversation costs nothing and stays between us.