Hire data engineers from Eastern Europe
Senior data engineers available on a time & material basis. Start within 2 weeks. We act as employer of record — no entity setup, no local payroll admin.
What data engineers build
Data engineers design and build the infrastructure that makes data usable at scale. That means pipelines, data lakes, warehouses, streaming systems, and the transformation layers that sit between raw data and the analysts or ML teams who consume it.
Typical work includes:
- ELT/ETL pipelines: ingestion, transformation, testing, scheduling
- Data warehouse design and implementation (Snowflake, BigQuery, Redshift)
- Real-time streaming with Kafka, Kinesis, or Flink
- Orchestration with Airflow, Prefect, or Dagster
- Feature store pipelines feeding ML systems
- Data quality monitoring and SLA enforcement
- Migration of legacy data systems — SAP exports, on-prem databases, flat-file ingestion — onto modern stacks
If your team is drowning in ad hoc SQL and nobody owns the pipeline layer, that’s a data engineering problem. If you’re building out an analytics platform or modernizing a data warehouse, data engineering is the starting point.
Seniority bands and T&M rate bands
All rates are illustrative EUR/month employment cost (what you pay staffai.eu). We handle payroll, benefits, and local compliance.
| Band | Experience | EUR/month (employment cost) |
|---|---|---|
| Mid | 3–6 years | EUR 3,000–4,200 |
| Senior | 7–12 years | EUR 3,500–6,000 |
| Staff / Principal | 12+ years | EUR 6,000–8,500 |
For comparison: a senior data engineer in the US costs USD 12,000–17,000/month on a fully loaded basis (salary, payroll taxes, health insurance, equity, tools). The EUR 3,500–6,000 range for a senior Eastern European engineer is not an approximation — it’s what shows up on your invoice.
Engagement terms
- Billing: time & material. You pay for hours worked, billed weekly or monthly.
- Scale: add or remove engineers week-by-week. No fixed terms.
- Employer of record: We employ the engineer. IP assignment, NDAs, and compliance are handled at contract signature.
- Ramp time: engineers join your team within 2 weeks of contract signature. Most are reading your data architecture docs in week one.
- IP and legal: work-for-hire under EU directives. GDPR-native by default. Enforceable IP assignment in every contract.
- Timezone: CET/EET — full overlap with Western Europe, partial overlap with US East Coast mornings.
Typical stack
Python, SQL, dbt, Apache Airflow, Prefect, Dagster, Snowflake, BigQuery, Databricks, Apache Spark, Kafka, AWS Glue, Azure Data Factory, Fivetran, Stitch, Great Expectations, dbt tests, Terraform (for infrastructure provisioning), Docker, Kubernetes.
Most engineers on our bench have worked across both batch and streaming architectures, and have hands-on experience with at least one major cloud data platform.
Why Eastern Europe — especially for data engineering
Romania in particular has an unusually deep data engineering supply. Much of it traces back to two decades of enterprise systems work — SAP implementations, Oracle database migrations, legacy mainframe modernization — that generated a generation of engineers fluent in data at scale, long before the “data stack” had a brand name.
The senior cohort (10–15 years of experience) typically has:
- Production experience with high-volume, messy, real-world data — not clean Kaggle sets
- Background in relational systems and query optimization before columnar warehouses existed
- Hands-on migration work moving legacy pipelines onto Snowflake, BigQuery, or Databricks
Combined with EU legal jurisdiction, GDPR baseline compliance, and timezone overlap with Western Europe, this makes Eastern Europe the most practical nearshore option for data engineering teams scaling out of Western Europe or the UK.
Sample profile
Senior data engineer — 11 years experience
Stack: dbt, Snowflake, Apache Airflow, Python, Kafka
Built a data warehouse for a retail client processing 2TB/day across 40 source systems. Designed dbt model structure from scratch, implemented data quality tests cutting pipeline failures by 70%. Led migration from on-prem Oracle warehouse to Snowflake over 6 months.
Location: Bucharest, Romania. Available: 2 weeks.
Related pages
Ready to hire?
Tell us the role, the stack, and the timeline. We’ll send back a cost estimate and 2–3 matched profiles within 48 hours.