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Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Python/SQL): Building and maintaining the core data platform and data pipelines for the Saga transport planning software with an accent on data accuracy and accessibility. Focus on orchestrating high-quality pipelines in GCP, translating complex business workflows into analytical data models, and ensuring seamless data flow for ML models.

Location: Hybrid position based in Stockholm or Gothenburg, Sweden, with office attendance a couple of days each week

Company

hirify.global develops digital, electric, and autonomous freight technology, including the Saga electric freight planning platform.

What you will do

  • Build and maintain the core analytics data platform and data products.
  • Build and orchestrate high-quality data pipelines for Saga, business reporting, and machine learning models.
  • Work with internal and external data consumers to understand dataset and data-access needs.
  • Connect business objectives with operational and analytical data models.
  • Terraform infrastructure for the data orchestration platform in GCP.
  • Collaborate with technical colleagues and business users to improve data accessibility and usability.

Requirements

  • Hands-on experience working with real-world datasets.
  • Experience with modern cloud-native data engineering tools, including SQL, BigQuery, dbt, Dagster, and Google Pub/Sub.
  • Experience with a general-purpose programming language such as Python, Java, or Go.
  • Knowledge of data engineering best practices and ability to guide colleagues in their adoption.
  • Service-minded approach and comfort communicating with business users.
  • Willingness to work from the Stockholm or Gothenburg office a couple of days each week.

Culture & Benefits

  • Work in a diverse, collaborative environment that values open discussion and different perspectives.
  • Contribute to the electrification and sustainability of heavy-duty transportation.
  • Join an organization developing digital, electric, and autonomous freight solutions.
  • Background checks are conducted for the final candidate as part of the standard recruitment process.

Hiring process

  • Applications are reviewed on a rolling basis, with selection and interviews held continually.
  • The final candidate undergoes a background check that may include verification of education, employment history, certifications, and other relevant information.

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