Hire Data Engineers
- 48–72 hour shortlist target
- Interview every candidate yourself
- Full-time, part-time or hourly
- NDA, IP assignment and replacement support
Indicative estimate — final quote depends on skills and scope.
Data Engineers who fit your team
Dashboards and AI are only as good as the data underneath them. Our data engineers design pipelines that are tested, documented and observable — so when numbers look wrong, you can trace why. They model data for analytics, build ingestion from operational systems and keep costs predictable.
They work across modern stacks — Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Kafka — and can modernize legacy ETL jobs into maintainable ELT workflows with version control and CI.
Deep in the stack you use
Typical responsibilities
- 01Build batch and streaming ingestion pipelines
- 02Model data warehouses and lakehouse layers for analytics
- 03Orchestrate workflows with scheduling, retries and alerts
- 04Implement data quality checks, lineage and documentation
- 05Optimize query performance and compute costs
- 06Prepare clean datasets for BI and machine learning
Estimate the cost to hire Data Engineers
Configure your team
Specialist skillsWhy hire Data Engineers from us
Screened on SQL depth, modeling and pipeline design
Software-engineering habits — version control, tests, CI
Cost-aware with cloud warehouses and compute
Easy to pair with our BI and AI/ML specialists
Prefer a managed project?
Data Engineering & Analytics
Data pipelines, warehouses and lakehouses on Snowflake, Databricks, BigQuery and Fabric, built for reliable analytics, reporting and AI.
Learn moreBusiness Intelligence & Dashboards
Power BI, Tableau and Looker dashboards, semantic models and self-service analytics that turn data into clear, timely business decisions.
Learn moreAI & Machine Learning Solutions
Predictive models, computer vision, NLP and MLOps, from use-case discovery to production deployment and monitoring.
Learn moreAlso hiring for
All 24 rolesOur target is to share shortlisted, pre-screened data engineers profiles within 48–72 hours of a clear requirement. Niche skill combinations or very senior profiles can take longer, and we will tell you upfront if we expect that.
Ready to hire Data Engineers?
Share your stack, seniority and timeline. We target a shortlist of pre-screened profiles within 48–72 hours — free and with no obligation.