What our data engineers do
AI and analytics are only as good as the data behind them. Data engineers bring data from ERP, CRM, apps, files and devices into one reliable place, model it, test it and keep it fresh.
For AI projects they also prepare document stores, embeddings pipelines and feature tables, so models and agents always work with current, trustworthy information.
What you can build with our data engineers
- Data warehouses and lakehouses on Snowflake, BigQuery, Redshift or Databricks
- ELT pipelines with dbt and orchestration with Airflow or Dagster
- Real-time streams with Kafka for events and IoT
- Connectors from ERP, CRM, Tally, spreadsheets and APIs
- Data quality tests and lineage
- Embedding and document pipelines for RAG and AI agents
Flexible ways to hire
- Dedicated engineer: a full-time data engineer working only on your product, in your tools and sprints.
- Part-time or on demand: expert hours for reviews, architecture or a specific feature.
- Managed team: a small cross-functional team that delivers a defined project end to end.