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12 дней назад

Data Engineering Associate (Fashion)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
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 Engineering Associate (Fashion) (Python/Scala, SQL, ETL): Building and maintaining scalable data solutions for the HUGO BOSS Digital Campus with an accent on data processing, automation, and analytics workflows. Focus on processing structured and unstructured data, developing ETL solutions, and collaborating with data science, reporting, product development, and client teams.

Location: Porto, Portugal

Company

hirify.global develops solutions in Big Data, digital commerce, marketing, design, and advisory services. Together with HUGO BOSS, hirify.global operates the HUGO BOSS Digital Campus focused on data analytics, eCommerce, technology capabilities, and digital sales.

What you will do

  • Diagnose data and business problems, develop hypotheses, and implement relevant solutions.
  • Process structured and unstructured data across its lifecycle.
  • Perform ETL activities and develop automated data-processing code.
  • Build and maintain scalable data solutions for clients and projects.
  • Collaborate with data science, reporting, and product development teams.
  • Communicate with clients and senior stakeholders at the executive level.

Requirements

  • 3–6 years of experience in data engineering.
  • Graduate degree or higher with coursework in programming and data analytics.
  • Strong logical reasoning, critical thinking, and problem-solving abilities.
  • Good programming skills in Python, Scala, or another scripting language.
  • Good knowledge of SQL and basic understanding of big data.
  • Knowledge of at least one cloud platform: Microsoft Azure, AWS, or GCP; English communication skills are required.

Nice to have

  • Knowledge of Git and CI/CD.
  • Strong business acumen and understanding of business processes.

Culture & Benefits

  • Work with senior stakeholders to drive impactful business change.
  • Take ownership of end-to-end data handling, management, and analytics processes.
  • Collaborate with data scientists on data acquisition, exploration, cleaning, integration, analysis, interpretation, and visualization.
  • Join an international and diverse team with more than 50 nationalities.
  • Work in an environment focused on curiosity, collaboration, diversity, equity, inclusion, and belonging.

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