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4 часа назад

Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Poland
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 Engineer: Supporting and enhancing the Global Demand Model, a world-leading product for asset management demand forecasting, with an accent on ensuring accuracy, consistency, and timely data delivery. Focus on designing, building, maintaining, and improving data workflows using ETL tools and combining diverse data sources for high-quality outputs.

Location: Hybrid role based in Gdansk, Poland

Company

hirify.global develops world-leading products for sizing and forecasting asset management demand.

What you will do

  • Support quarterly go-live processes for the Global Demand Model, ensuring accuracy, consistency, and timely delivery.
  • Contribute to the ongoing development, optimization, and enhancement of data solutions.
  • Design, build, maintain, and improve data workflows using ETL tools like Alteryx.
  • Gather, analyze, and combine data from multiple sources to ensure high-quality outputs.
  • Collaborate with cross-functional stakeholders to translate business needs into data-driven solutions.
  • Identify opportunities for process automation and continuous improvement.

Requirements

  • University degree, preferably in a quantitative field (Computer Science, Economics, Finance, Mathematics, Engineering).
  • Strong numerical and analytical skills with exceptional attention to detail.
  • Ability to work effectively under deadlines and manage multiple priorities.
  • Communicative English level required.
  • Solid knowledge of MS Excel and basic to intermediate SQL skills.
  • Must be able to work in Gdansk, Poland (hybrid model).

Nice to have

  • Experience with ETL tools (e.g., Alteryx).
  • Knowledge of and interest in the funds industry, economics, or finance.

Culture & Benefits

  • Be part of a high-impact team working on a globally relevant product.
  • Gain exposure to complex data environments and strategic business processes.
  • Opportunity to contribute ideas, drive improvements, and innovate.
  • Collaborative and supportive team culture.
  • Continuous learning and professional development opportunities.
  • A workplace committed to diversity and inclusion.
  • Uses AI tools in the hiring process for initial application review, with human oversight.

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