Hire data engineers to build reliable pipelines, warehouses and lakehouses that power analytics and AI. Our engineers work with Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, Spark and Airflow.
Every one of our data engineers is technically vetted, communicates clearly in English and works with sufficient time-zone overlap for daily collaboration. Choose full-time, part-time or hourly engagement, start quickly and scale your team as your roadmap evolves.
Skills our data engineers bring to your team from day one.
Share your requirements, review hand-picked profiles, interview the candidates you like and onboard within days. Your developer works as part of your team, using your tools and processes, while we take care of HR, infrastructure, security and replacements.
Engagement models: Full-time dedicated (around 160 hours per month), part-time (around 80 hours per month) and hourly or project-based arrangements.
Common questions about hiring data engineers through Prominent AI Services LLP.
Azure, AWS and Google Cloud, with particular depth in Azure Data Factory, Synapse and Microsoft Fabric.
Yes. They diagnose bottlenecks, optimise queries and add monitoring and error handling.
Yes. You can add resources or reduce hours with reasonable notice as your project needs change.
