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Data Engineer

Sber • Russian: C1 • LLM & Generative AI • Cloud Platforms (IaaS & PaaS) • Python • SQL • Scala • ETL/ELT • 4 hours ago
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Salary
up to $59k per year (net)
Location
In office (Moscow)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 28, 2026. Sber scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Sber

Sber is Russia's largest bank and the centre of one of the country's biggest technology ecosystems, tracing its origins to savings institutions established in 1841. It serves over a hundred million retail customers and several million businesses through branch, mobile and web channels, and holds a dominant share of the national deposit, lending and payment markets. Over the past decade the group has built out an ecosystem well beyond banking, spanning e-commerce, food delivery, streaming media, cloud infrastructure, devices and the GigaChat family of large language models developed by its own AI research teams.
sber.ru • HQ: Moscow, Russia • Cloud Platforms (IaaS & PaaS) • LLM & Generative AI • Investment Banking & M&A Advisory • Wealth Management & Financial Advisors • Commercial & Retail Banks • 5000+ employees • Est. 1841
Tech stack of Sber

Ищем специалиста, который сочетает инженерный подход к разработке ETL-процессов с глубоким пониманием аналитики данных.

Обязанности

Чем предстоит заниматься:

  • проектирование на основе спецификаций (Spec-driven)
  • разработка ETL/ELT процессов
  • оркестрация и мониторинг
  • аналитическая поддержка
  • работа с документацией
  • взаимодействие со стейкхолдерами

Требования

Мы ждём что ты:

  • Опыт работы от 4 лет в ролях Data Engineer, DWH-разработчика или системного аналитика данных
  • Продвинутый уровень SQL: оконные функции (ROW_NUMBER, LAG/LEAD), CTE, понимание плана выполнения запроса (EXPLAIN) и оптимизации
  • Уверенное владение Apache Spark: опыт промышленной разработки на языке Scala, опыт работы с экосистемой Big Data: HDFS, Hive Metastore, YARN, Parquet/ORC форматы
  • Практический опыт работы с оркестраторами (Airflow, Luigi или аналоги)
  • Владение Git: ветвление (GitFlow), код-ревью, разрешение конфликтов

Будет плюсом:

  • Опыт проектирования витрин с нуля под требования конкретных продуктовых метрик
  • Python (Pandas, PySpark) для вспомогательных скриптов, тестирования или легкого анализа
  • Начальные знания и интерес к развитию в области Machine Learning и Data Analysis

Условия

Что мы предлагаем:

  • офисный формат работы
  • ежегодный пересмотр зарплаты, годовая премия
  • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
  • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
  • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
  • подписку Прайм с возможностью совместного использования на троих членов семьи
  • вознаграждение за рекомендацию друзей в команду Сбера.
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