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2 дня назад

Data & AI Analytics Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & AI Analytics Engineer (Snowflake/Python): Building scalable data solutions, governed data products, pipelines, and analytical applications for Finance and Accounting with an accent on Snowflake, data quality, governance, and AI-ready datasets. Focus on designing enterprise data architectures, integrating SAP and external sources, automating reconciliation and transformation, and enabling AI-driven business insights.

Location: Bucharest, Romania; hybrid remote/office

Company

hirify.global is an energy technology company developing solutions for reliable, affordable, and sustainable energy across more than 90 countries.

What you will do

  • Design, develop, and optimize scalable data solutions on Snowflake.
  • Build and maintain end-to-end data pipelines integrating SAP, enterprise applications, APIs, and external data sources.
  • Develop governed data products, data models, semantic layers, and datasets for Finance, Accounting, reporting, analytics, and AI applications.
  • Build analytical applications and dashboards using Streamlit, Python, Snowflake, and related technologies.
  • Automate data preparation, reconciliation, validation, and transformation with SQL, Python, Alteryx, and KNIME.
  • Ensure data quality, lineage, governance, documentation, and adoption of AI-enabled business solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Business Informatics, Information Systems, Finance Analytics, Engineering, Mathematics, or a related field.
  • Professional experience in Data Engineering, Business Intelligence, Analytics Engineering, Data Analytics, or Enterprise Data Platforms.
  • Hands-on experience with Snowflake in enterprise-scale environments.
  • Advanced SQL, strong Python development skills, and experience designing scalable data pipelines and modern data architectures.
  • Strong knowledge of data modeling, data governance, master data management, and data quality.
  • Fluent written and spoken English required.

Culture & Benefits

  • Hybrid work in the Bucharest One Cotroceni Park office.
  • Training opportunities and learning support.
  • Meal tickets and Bookster book access.
  • Medical subscription and private pension contribution.
  • Wellbeing initiatives and an inclusive environment with colleagues from more than 130 nationalities.

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