Hire data professionals through consulting-led matching — Power BI developers, data engineers, Fabric consultants, Databricks engineers, data architects, ETL developers, data scientists, BI developers, and streaming data engineers. Pre-qualified data professionals evaluated by our data engineering domain experts. Fabric architect demand has grown 180% YoY.
Hire data professionals who understand that a working notebook query and a production data pipeline are fundamentally different things. Production pipelines need incremental loading, error handling, monitoring, SLA alerting, and the engineering discipline that processes 500M rows nightly without manual intervention. Our data professional matching evaluates for production data engineering — not just SQL skills.
Data professionals we source: Fabric architects — OneLake design, lakehouse architecture, Direct Lake optimization. Data engineers — Azure Data Factory, Spark, dbt pipeline development. Power BI developers — semantic models, DAX, report design. Databricks engineers — Delta Lake, Unity Catalog, Spark optimization. Data architects — enterprise data strategy, warehouse modeling, governance frameworks.
4.3-day average to first curated profile. 92% first-match acceptance rate. Pre-qualified data professionals from 200+ delivery partners — sourced through relationships, not job boards.
Pre-qualified data professionals across every specialization — browse roles or send us a requirement.
Pre-qualified, deployment-ready power bi developer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready data scientists sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready data engineers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready data analysts sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready microsoft fabric consultants sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready bi developers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready etl developers sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready databricks engineer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready data architects sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready fabric architect sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready dataops engineer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Pre-qualified, deployment-ready streaming data engineer sourced through consulting-led matching. 4.3-day average to first profile.
View role details →Technical skill requirements, domain experience, team dynamics, project context — we understand what you actually need, not just the job title.
200+ pre-qualified delivery partners with 5,000+ specialists. We source from proven relationships, not job boards.
Scenario-based technical interview by our domain experts. We evaluate how specialists solve problems, not just what they know.
Curated profiles in 4.3 days average. You interview. You decide. Zero commitment until you're convinced.
4.3-day average to first curated profile. For urgent backfills, we've delivered within 48 hours. Our network of 200+ delivery partners means we source from existing relationships, not job boards.
Mid-level through principal/architect. Most placements are senior (5-10 years) or lead (8-15 years). We don't place juniors — our consulting-led matching process is designed for specialists who contribute from week one.
4-stage consulting-led matching: skill assessment, scenario-based technical interview (not quiz questions — real problem scenarios), reference verification, and domain-specific evaluation. 92% first-match acceptance rate.
Staff augmentation (your team lead, our specialist), project delivery (our team, your requirements), or managed capacity (standing agreement for ongoing needs). 3-18+ month engagements. Scale up or down as needs change.
Hire data professionals — Fabric architects, Power BI developers, data engineers, and Databricks specialists deployed through consulting-led matching.