Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная позиция опытного инженера данных в крупной энергетической компании: современный стек и заявленные возможности развития, но без зарплаты сложнее оценить общее предложение.
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Зарплата не указанаСовременный стекПонятные задачиКрупная компанияРазвитие и обучение
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer Finance (f/m/d) (Snowflake/SQL/Python/dbt): Building and operating data foundations and production data products for finance reporting, analytics, automation, and AI with an accent on end-to-end data flows, maintainable transformations, and data quality. Focus on integrating ERP source systems, designing performant data models, embedding testing and observability, and solving recurring production failures at their root cause.
Location: Hybrid, Bucharest, Romania
Company
hirify.global is an energy technology company operating across more than 90 countries, focused on reliable energy, decarbonization, and energy transformation.
What you will do
Build and operate shared data ingestion, integration, and engineering foundations for Finance.
Turn Finance requirements into production-grade data products for reporting, analytics, automation, and AI.
Integrate ERP and other source systems through ETL/ELT and create well-modelled data for consumption.
Develop maintainable transformations and data models using Snowflake, SQL, Python, and dbt.
Embed data quality checks, automated testing, observability, and lineage into delivered solutions.
Own solutions from design through production operation, including root-cause analysis, documentation, reusable code, and coaching.
Requirements
5+ years of experience building and operating production data pipelines, platforms, or data products.
Strong hands-on experience with Snowflake, advanced SQL, Python, and dbt.
Practical experience with Git, CI/CD, and automated testing.
Knowledge of data modelling, database design, and performance optimization.
Ability to turn ambiguous requirements into maintainable solutions and resolve production issues.
Degree in Computer Science, Engineering, or a related field, or a relevant apprenticeship; strong professional English required.
Nice to have
Knowledge of Finance data and processes.
Experience with semantic modelling and practical AI skills, including LLMs or AI-assisted development.
German language skills.
Culture & Benefits
Work in a cross-border and collaborative environment focused on sustainable energy technology.
Access to professional training and development opportunities.
Meal tickets, medical subscription, private pension contributions, and wellbeing initiatives.
Bookster access and an office community in One Cotroceni Park, near Academia Militara subway station.
Inclusive workplace representing more than 130 nationalities.
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