Hire engineers
Hire vetted data engineers
Hire data engineers in India who build the pipelines, warehouses and ETL your analytics and AI depend on. Data engineering is one of the roles we place most.
Vetted profiles within 24 hours. Engineers who work your hours, whether you're in New York, London, Dubai or Sydney.
Skills and stack
What our data engineers work with
- Platforms
- DatabricksSnowflakeBigQueryRedshiftAzure Synapse
- Processing
- Apache SparkKafkaAirflowdbtFlink
- Languages
- PythonSQLScalaPySpark
- Cloud
- AWS GlueAzure Data FactoryGoogle Cloud DataflowTerraform
Typical work
What data engineers build with us
Data pipelines
Batch and streaming pipelines that move data reliably from source systems to your warehouse.
Warehouse and lakehouse models
Clean, tested data models in dbt, Databricks or Snowflake that analysts can trust.
Data for AI
The ingestion and preparation behind machine learning and retrieval-augmented AI.
How we vet
How we vet data engineers
2–3 technical rounds tailored to your requirement, then you interview and approve.
- 01SQL and data modelling under realistic constraints.
- 02Designing a pipeline: orchestration, failure handling and data quality checks.
- 03Hands-on work in the platform you use, such as Spark, Databricks or Snowflake.
- 04You interview the shortlist and approve who joins.
Engagement
Contract, dedicated or contract-to-hire
Contract
An engineer for a defined period or piece of work. Good for a sprint of extra capacity or a specialist skill.
Dedicated developer or team
Full-time engineers working only on your product, as part of your team, for as long as you need them.
Contract-to-hire
Start on contract, then bring the engineer onto your own team once you know it is the right fit.
Trial period and replacement guarantee on every engagement. How staff augmentation works
- Tech talents
- 100+
- AI/ML engineers
- 40+
- Client retention
- 100%
- Satisfied clients
- 20+
We needed two senior React engineers who could work UK hours. Xpance had vetted profiles to us within 24 hours, and both were shipping to production by their second sprint.
FAQ
Hiring data engineers: questions
Databricks, Snowflake, BigQuery and Redshift, with Spark, Airflow, dbt and Kafka. We match engineers to the platform you already run.
Yes. Many of our data engineers work alongside our AI/ML engineers, preparing the data that models and retrieval systems depend on.
Our technical rounds include designing a pipeline with validation, monitoring and recovery from bad data, not just writing queries.
Hire
Tell us about the data engineer you need
Vetted profiles within 24 hours. We reply within one business day.
Related roles
You might also need
Ready to hire data engineers?
We reply within one business day. Vetted profiles within 24 hours.