Data, Analytics & AI
Engineers and analysts who turn raw data into business decisions.
Comnet places data professionals across the full analytics stack, from pipeline engineers building ingestion layers on Apache Airflow and dbt to ML Engineers deploying models on Databricks and Snowflake. The practice has grown rapidly alongside enterprise GenAI adoption, with active demand for specialists who can scope and deliver practical LLM integrations for financial services, healthcare, and logistics clients. BI Developers with Power BI or Tableau certification are in sustained demand across all five markets. Comnet also places Data Architects for organisations defining their lakehouse or mesh strategy, and Analytics Engineers bridging the gap between raw data and business-facing reporting. The practice covers both product-company hiring and enterprise programme staffing.
The business case for getting this right.
Every organisation now holds more data than its teams can act on. The specialists who architect, transform, and model that data are among the most constrained in the market, and sourcing them requires access to a network that extends well beyond active job boards.
Who we place.
These are the specialist titles most frequently demanded by Comnet clients in this practice area.
Where we place.
Disciplines that complement this one.
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