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
Дата-инженер
Data engineer builds and maintains data pipelines and marts for a bank’s credit-process analytics, using SQL, Spark, Scala/Java, Hadoop, and Python.
Data Engineer | Администратор DWH
Data Engineer stabilizes and optimizes a ClickHouse/PostgreSQL data warehouse, builds Airflow DAGs, and sets up access controls for a project-based role.
Системный аналитик (GenAI Data Governance)
Designs and governs GenAI-powered document-processing pipelines, writes API specs, and ensures data quality for NLP products used across the bank.
Data engineer
Build and optimize a massive data platform for a large bank, handling batch and real-time pipelines with Hadoop, Spark, Kafka, and Iceberg in a Lakehouse architecture.
Дата-инженер
Data engineer builds and maintains data pipelines and SQL-based data marts for Sberbank’s credit-process analytics, using Spark, Scala/Java, Hadoop, and Python.
Data engineer
Builds and maintains a petabyte-scale data lakehouse platform for Sberbank, handling batch/streaming data ingestion, ETL pipelines, and data quality controls using Hadoop, Spark, Kafka, and Iceberg/Paimon.
Middle/Senior Data Engineer
Develops end-to-end data pipelines for a natural language search platform, managing multimodal data ingestion, vector/text search preparation, and high-load architecture using Python, SQL, Airflow, Spark, Kubernetes, and S3.
Инженер данных
Build real-time feature pipelines and embeddings for ML models using Spark/Flink and Kafka, then serve them to data scientists.
Ведущий инженер данных
Designs and optimizes data warehouses (ClickHouse/StarRocks) and security event pipelines, ensuring high-performance analytics, Kubernetes-based data service reliability, and observability for cybersecurity data platforms.
Data Engineer
Builds automated reports and data marts for a bank’s strategic development team using SQL, ETL tools, and Excel, while collaborating with business stakeholders.
Data Engineer (Цифровой двойник)
Build and maintain data pipelines and ETL processes for Moscow’s Digital Twin, using PostgreSQL, Spark, Airflow, and Python to support urban planning decisions.
Data Engineer / Инженер данных
Data Engineer builds and optimizes ETL/ELT pipelines, writes SQL queries, and designs data architecture for an iGaming company’s analytics platform.
Data Engineer (Команда RecSys)
Builds and maintains batch/streaming data pipelines (Airflow, Spark Streaming, Kafka) to fuel recommendation systems, feature stores, and ML models while optimizing performance and documentation.
Ведущий инженер / Senior Data Engineer по развитию корпоративного DWH
Senior Data Engineer builds and leads a corporate data warehouse (DWH) that unifies ERP, accounting, and external data for reliable business analytics and reporting.
Senior Data Engineer
Build and optimize data pipelines, DWH, and lakehouse architecture using Airflow, Spark, and Python; integrate APIs, S3, and Kafka; ensure data quality and reliability.
Lead Data Engineer
Lead a team modernizing annuity and life-insurance systems, designing Oracle SQL/PLSQL solutions, and automating batch workflows with BMC Control-M while mentoring engineers and leveraging AI tools.
Data Engineer
Designs and builds ETL/ELT pipelines and optimizes data workflows using Python, SQL, Airflow, Spark, and ClickHouse/PostgreSQL for Moscow’s digital city-management systems.
Senior Data Engineer
Designs and optimizes ETL/ELT pipelines, data warehouses, and SQL workflows using Greenplum/PostgreSQL, Hadoop/Spark, and ETL tools like Informatica. Focuses on MPP architectures, PL/pgSQL procedures, and maintaining data infrastructure for enterprise clients.
Data Engineer
Designs and maintains data pipelines, analytical data warehouses, and big data infrastructure for a Russian real-estate platform, using SQL, Python, and Greenplum to support property transactions and user analytics.