Data Engineering Jobs in Russia
There are 212 open Data Engineering jobs in Russia on freehire right now. 33 of them were posted recently. The skills employers ask for most often are sql, python and etl.
Most requested skills
- sql 78%
- python 77%
- etl 62%
- airflow 50%
- clickhouse 38%
- spark 38%
- postgresql 36%
- kafka 34%
How the work is done
- Remote 72 · 34%
- Onsite 49 · 23%
- Hybrid 28 · 13%
Visa sponsorship offered in 18% of the 49 postings that state a position on it.
Seniority
- Senior 36
- Middle 9
- Intern 7
- Lead 6
- Junior 5
- C-level 2
Who is hiring
- 1000+ employees 65
- 501-1000 employees 34
- 51-200 employees 11
- 11-50 employees 6
- 201-500 employees 1
Backend-разработчик — Go (Data Platform)
Build and maintain monitoring and resource-management services for a data platform using Go and C, including Kafka, PostgreSQL, and ClickHouse.
Инженер данных (junior)
Junior data engineer builds and maintains data pipelines, ETL processes, and OLAP cubes for a healthcare company’s internal data platform using Python, SQL, and MSSQL/PostgreSQL/ClickHouse.
Data Platform Engineer
Build and maintain ML feature pipelines for batch, streaming, and nearline scenarios to power recommendations and analytics at a top Russian streaming platform.
Инженер данных/Data Engineer
Разрабатывает end-to-end аналитические решения: проектирует ETL/ELT, строит ML-модели и кастомные BI-визуализации на JavaScript (D3.js), PostgreSQL, ClickHouse и Python для data-driven процессов в девелоперской компании.
Data Engineer
Builds and maintains data pipelines for an e-commerce brand, focusing on Python-based API connectors, dbt models, and DWH architecture to support Amazon and other US marketplaces.
Data Engineer в платформенную команду
Builds and maintains the core data platform for a real-estate marketplace, using Python, SQL, and big-data tools like PostgreSQL, ClickHouse, and Airflow.
Data Engineer в платформенную команду
Builds and maintains core data platforms and pipelines for a real-estate platform, using Python, SQL, and big-data tools like PostgreSQL, ClickHouse, and Kafka.
Data Engineer
Builds and optimizes enterprise data warehouses and ETL pipelines using PostgreSQL, Greenplum, Spark, Kafka, and related Big Data tools.
Data Engineer
Builds and maintains data marts for risk-management systems using SQL, ETL, and big-data tools like ClickHouse and Spark.
Data Engineer (Java / Big Data)
Build and maintain Big Data pipelines and ETL workflows in Java/Groovy, working remotely or from the Tula office as part of an outstaffed product team.
Data Engineer
Senior Data Engineer builds and optimizes ETL pipelines using Apache Spark, Hadoop, and ClickHouse to process and deliver data for analytics in a hybrid office setting across Russian cities.
Middle Data Engineer (Москва)
Middle Data Engineer builds and maintains ETL/ELT pipelines using Python and GreenPlum/PostgreSQL to integrate and transform corporate data for analytics.
Data Engineer
Senior Data Engineer builds and scales distributed data pipelines in Scala/Spark to feed a confidential ML platform used by 80% of Russia’s banks.
Middle/Middle+ Data engineer (Сбер. Офис/гибрид)
Builds and maintains ETL/ELT pipelines and SQL analytics in Greenplum/PostgreSQL using Python for a large Russian IT integrator.
Lead Data Engineer
Lead a data-engineering team to build and scale a data warehouse for a car-buying platform, using PostgreSQL, ClickHouse, Airflow and Python.
Data-инженер / Data Engineer
Builds and improves data-migration tools, CLI/LLM utilities, and Spark-based Big Data services in Python for a self-service migration platform.
Старший инженер данных, Ozon Банк
Senior data engineer builds ETL pipelines, data-delivery tools, and monitoring for Ozon Bank’s analytics platform using Python, Airflow, ClickHouse, Spark, and Kubernetes.
Senior Data Engineer (Airflow, DWH)
Senior Data Engineer builds and optimizes ELT pipelines using Airflow, dbt, and cloud DWHs (Snowflake/BigQuery) to transform and maintain high-quality data for production systems.
Data Engineer
Builds and maintains ETL pipelines, data models, and AI services for a gold-mining company’s digital solutions using PostgreSQL, ClickHouse, Airflow, and NiFi.