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
Data Engineer
Designs and optimizes data pipelines and warehouses to build real-time user profiles for personalization and analytics across a large ecosystem of non-financial services.
Data Engineer
Designs and builds data pipelines, warehouses, and ETL/ELT workflows using Hadoop/Spark/Kafka stacks and PostgreSQL/Greenplum for fintech, retail, and edtech clients.
Senior Data Engineer (Snowflake)
Designs and maintains scalable data pipelines and analytics systems using Snowflake, AWS, and Python to support data-driven products and reporting.
Principal Data Engineer
Principal Data Engineer leads modernization of enterprise-scale data platforms for a financial services firm, designing cloud data lakehouse architectures with Oracle, Redshift, Spark, and Iceberg while using AI to improve engineering productivity.
Data Engineer
Designs and maintains data pipelines and warehouses for a city-focused transport planning agency, using SQL, Python, and tools like ClickHouse and Airflow.
Инженер данных в отдел аналитики Alice AI
Engineer data pipelines and dashboards for Alice AI’s analytics team, using Python, SQL, YQL, and DataLens to process and visualize performance metrics.
Junior Data Engineer
Junior Data Engineer builds and maintains data pipelines, ETL processes, and data warehouses for a major airline group, migrating from legacy Oracle/Informatica tools to modern cloud-native stacks.
Data Engineer / инженер данных
Чем предстоит заниматься: Разработка и поддержка ETL-процессов: создание и доработка загрузок данных из API, файлов, внутренних баз данных и других источников, поддержка регулярного обновления данных. Работа с Airflow:…
Руководитель группы по сбору данных - Data Engineer
Мы — Интерлизинг, входим в банковскую группу «Уралсиб» и в ТОП-10 лизинговых компаний России. 26 лет наша команда из 1000+ профессионалов в 84 городах делает современную технику и технологии доступными для бизнеса! Мы…
Data Engineer (Senior)
Senior Data Engineer building and optimizing a custom lakehouse platform (Apache Iceberg, Trino, Spark) with AI-driven tooling for a global gift marketplace.
Data Engineer
Обязанности: Развертывание и администрирование Apache Airflow (настройка воркеров, веб-сервера, метабазы); Построение и оптимизация ETL/ELT процессов; Развертывание и поддержка BI-систем (Superset, Metabase) -…
Data Engineer
Designs and maintains data pipelines and warehouses for a large bank, using SQL, Python, and systems like Greenplum and ClickHouse to serve 16,000 business users.
Data Architect / Data Analyst / ML Engineer / Data Engineer
Designs data models, storage principles, and processing pipelines for streaming and archival data, and integrates ML models into production systems.
Data engineer
Designs and maintains data pipelines, ETL/ELT processes, and DWH models for a travel-expense platform using SQL, Python, and ClickHouse.
Senior Data Engineer / Data Analyst
Senior Data Engineer/Data Analyst builds and maintains data pipelines and feature stores for AI models in Sberbank branches, translating DS prototypes into production systems using SQL, Python, and Spark.
Data Engineer в сеть продаж
Designs and maintains data pipelines to load, clean, and transform large datasets from banking systems into analytical data marts using Greenplum/Hadoop, Python, and SQL.
Дата-инженер в команду Data Core
Data engineer builds and optimizes ETL pipelines and data storage for a large bank’s data lake, using Python, SQL, and big-data tools to support analytics and decision-making.