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).
L1 Data Engineer - Remote
An L1 Data Engineer joins the Data & Analytics team to design, build, and maintain scalable data pipelines and ETL/ELT workflows on Microsoft Azure and Databricks, monitoring and troubleshooting failures and documenting standards. Core stack: Python, PySpark, Pandas, SQL, Azure Data Factory, and Synapse.
Principal Data Platform Engineer (Swedish Ad Platform)
Leads the technical design and architecture of an enterprise-scale data platform for a Swedish AdTech product, building batch and near-real-time pipelines on an Apache Iceberg lakehouse (AWS, Spark/Flink/Trino, Python/Java/Scala), while defining data contracts, quality, governance, and mentoring engineers.
Data Engineer
Build and optimize ETL/ELT pipelines, integrate data sources like ad cabinets, and ensure data quality for a digital entertainment platform. Use Python, SQL, and orchestration tools like Airflow or dbt.
Data Engineer
Senior/Lead Data Engineer builds and scales production-grade data systems, including pipelines, services, and storage solutions for data collection, processing, and delivery using Python, Airflow, and NoSQL databases.
Senior/Middle Data Engineer
Data Engineer at Raiffeisen Bank Ukraine owning the Data Lake platform — designing and operating end-to-end data pipelines (ingestion, transformation, publication) using Python, Spark, AWS, Airflow, Kafka, and Terraform, with mandatory hands-on use of AI coding agents.
Sr. Data Engineer
First dedicated data engineer owning the AWS-based data warehouse and pipelines, using Redshift, dbt, Python and SQL to model data for a UK property technology company.
Senior Data Engineer
Build and scale robust ETL/ELT pipelines and cloud data warehouses to process petabytes of user activity for a global social discovery platform.
Senior Data Engineer
The Senior Data Engineer will build and scale reliable ETL/ELT pipelines and design cloud-based data warehouse architectures. The role involves ensuring data quality and collaborating with cross-functional teams to transform raw data into actionable insights using tools like Python, SQL, BigQuery, and Airflow.
Senior Scala/Data Engineer
We are looking for a Senior Scala / Data Engineer on behalf of our client — a company operating in a highly data-intensive, distributed systems environment. This is a hands-on role for an engineer who doesn't just…
Senior Data Engineer (Databricks Migration)
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Data Engineer
About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads…
Data Engineer (Azure Data Stack) (Middle Strong/Senior)
We're growing our talent netwo rk and looking to connect with experienced professionals for upcoming opportunities . While this isn't an active opening , we'd love to learn more about your background and stay in touch…
Senior Data Engineer
Designs and maintains large-scale data pipelines and models for a TV and streaming advertising platform using Python, SQL, Spark/Databricks, and Redshift.
Data Engineer [0807]
Builds and maintains data pipelines and ETL processes using Python, SQL, and cloud tools to process large datasets and support analytics and modeling.