Data engineering services — senior engineers, time & material
Senior data engineers from Eastern Europe, rented on a time & material basis. We are the employer of record. No fixed project scope. Engineers on your sprint in about 2 weeks.
What these engineers build
Data pipelines — ingestion from APIs, databases, event streams, and flat files into a central store. Batch (Airflow, Prefect) and real-time (Kafka, Flink).
Data warehouses — Snowflake, BigQuery, Redshift, Databricks. Modeling with dbt. Schema design, performance tuning, incremental loads.
Data lakes and lakehouses — raw storage (S3, ADLS), Spark processing, Delta Lake / Apache Iceberg for ACID transactions on the lake.
ML feature stores — data pipelines feeding feature stores (Feast, Tecton) that serve ML models in production.
ELT architecture — Fivetran/Airbyte for ingestion, dbt for transformation, orchestration with Airflow or Dagster.
Stack coverage
| Layer | Tools |
|---|---|
| Orchestration | Airflow, Prefect, Dagster |
| Transformation | dbt, Spark, PySpark |
| Warehouse | Snowflake, BigQuery, Redshift, Databricks |
| Ingestion | Fivetran, Airbyte, Kafka, Kinesis |
| Storage | S3, ADLS, GCS, Delta Lake, Iceberg |
| Language | Python, SQL |
| Cloud | AWS, Azure, GCP |
Roles available
- Hire data engineers — pipeline builders, warehouse architects, dbt specialists
- Hire data scientists — statistical modeling, ML, experimentation, analysis
Capabilities
- Data warehousing — cloud warehouse builds and migrations
- Data science — analysis, ML modeling, experimentation
- Data visualization — BI layers and dashboards built on solid data models
Why Eastern Europe for data engineering
Romania in particular has deep supply in data engineering — a legacy of enterprise systems work (SAP, legacy modernization) that built strong SQL and pipeline fundamentals before the modern data stack existed. The senior cohort has 10–15 years of commercial experience.
50–70% below US senior rates. Inside the EU legal perimeter. CET/EET timezone.
→ Eastern Europe: the full breakdown
How an engagement starts
- Fill in the Estimator — use case, data readiness, timeline
- We return a recommended team composition and monthly cost band
- Engineers introduced within 5 business days
- On your sprint within 2 weeks
We handle local payroll and compliance.