Data Engineering Jobs in Ukraine
There are 74 open Data Engineering jobs in Ukraine on freehire right now. 20 of them were posted recently. The skills employers ask for most often are sql, python and aws.
Most requested skills
- sql 84%
- python 80%
- aws 61%
- etl 59%
- data-engineering 54%
- data-pipelines 53%
- gcp 51%
- azure 49%
How the work is done
- Remote 48 · 65%
- Hybrid 7 · 9%
Visa sponsorship offered in 0% of the 7 postings that state a position on it.
Seniority
- Senior 40
- Middle 9
- Lead 8
- Junior 2
- C-level 1
- Principal 1
Who is hiring
- 1000+ employees 6
- 501-1000 employees 4
- 51-200 employees 3
- 201-500 employees 1
English level
- B2 72%
- C1 22%
- B1 6%
Share of the postings that state a required level (at least 20% of this market do).
Senior Data Engineer with SAP BW and Snowflake, Retail Platform
We are looking for a very senior hands-on Data Engineer with strong SAP BW and Snowflake experience who has led engineering teams. About 70% of the engineering work is extracting data from SAP BW and integrating it…
Senior Data Engineer (Snowflake/DBT)
Senior Data Engineer at Techery who builds and owns ETL processes and data models powering analytics and financial reporting, working day to day with SQL, Python, AWS, Snowflake, DBT, Fivetran, and BI tools (Sigma, Looker), including modeling financial data such as transactions, payments, and tax calculations.
Data Engineer
Despite the 'Data Engineer' title, this is a full-stack role at Ukrainian defense-tech drone maker Vyriy Industries: building internal systems end to end — Node.js/TypeScript Express backends, React/TypeScript UIs with D3 charts, PostgreSQL, and Docker/Nginx deployment on Linux.
Senior Data Engineer
We are looking for a Senior Data Engineer with hands-on experience in Databricks, Snowflake, and either AWS or Azure to join our team. In this role, you will own the full lifecycle of our data warehouse, from ETL and…
Data Steward
Data Steward focused on data quality, governance, and documentation. Responsibilities include maintaining data catalogs, monitoring data quality issues, documenting data lineage, and validating sources for DWH/Data Lakes using SQL and BI tools like Power BI or Tableau.