Data Engineer (Python, C#)

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О проекте:

Развитие корпоративного хранилища данных крупной компании: собираем данные из десятков источников, строим витрины и обеспечиваем единую отчётность для бизнеса. Senior-инженеру предстоит отвечать за ETL-пайплайны, моделирование и качество данных - от источника до готового отчёта.

Задачи:

• Проектировать и развивать DWH: слои, витрины и модели данных (звезда, medallion, SCD2)
• Строить и поддерживать ETL/ELT-пайплайны на Airflow, Spark и Python
• Работать с PostgreSQL, Greenplum и ClickHouse, оптимизировать загрузки и запросы
• Организовывать потоковую загрузку из Kafka/RabbitMQ, следить за идемпотентностью и backfill
• Обеспечивать качество данных: тесты, сверки с источниками, мониторинг свежести и объёмов
• Участвовать в архитектурных решениях, проводить код-ревью и наставлять коллег
• Вести документацию и каталог данных

Требования:

• Опыт в Data Engineering / DWH от 5 лет
• Продвинутый SQL: оконные функции, CTE, чтение планов, оптимизация
• Python на уровне production-кода
• Опыт ETL/ELT: Airflow и Spark
• Понимание моделирования хранилищ и инкрементальной загрузки
• Опыт работы с ClickHouse или Greenplum/PostgreSQL на больших объёмах
• Kafka или RabbitMQ, Docker, Git, CI/CD
• Опыт код-ревью и наставничество
• dbt в продакшене
• Apache Iceberg (или Delta/Hudi), Trino
• Debezium и CDC
• Инструменты data quality и каталоги данных
• Kubernetes, on-prem-инфраструктура

Условия:

• Полная занятость с графиком 5/2
• Удалённый формат работы
• Работа в аккредитованной ИТ-компании
• Работа с современным стеком технологий и крупными игроками рынка
• * Официальное трудоустройство по ТК РФ или ИП РФ

Job Overview

We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.

Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.

Reports to

Director of Mobile and New Games

What will you do?

• Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
• Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
• Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
• Mentor analysts on dbt, SQL modeling, testing and code review
• Tune Snowflake performance and cost, improve pipeline reliability and monitoring
• Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
• Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
• Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team

What are we looking for?

• 4+ years of experience in analytics engineering, data engineering or a similar role
• Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
• Strong SQL and data modeling skills
• Production experience with Snowflake, including performance tuning and cost awareness
• Python for data tooling and automation
• Experience with AWS services used in data platforms (Lambda, S3)
• Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
• Experience with mentoring or supporting analysts
• Fluent English

What additional skills will help you stand out?

• Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
• Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
• Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
• Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
• Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
• Background in gaming, mobile apps or other consumer product analytics
• Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
• dbt certification

Work mode

• Hybrid (3 days of work from the office) 
• This role isn't eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:

• Additional paid time off 
• Sick Leave Compensation
• Pregnancy and Childbirth Leave Benefit  
• Career development and education opportunities within the company
• Meal Allowance
• Premium Private Health Care 
• Mental well-being program (iFeel)
• Perks discounts platform (over 450 exclusive discounts)
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• Company events 
• Seniority Awards  
• Referral program - You can recommend the best talents to the company and receive a reward