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3 дня назад

Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Denmark
Релокация
Denmark
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 (Python): Building, migrating, and operating production data ingestion pipelines for market data used in energy trading and forecasting with an accent on Python and C# ingestion frameworks, Databricks/Delta Lake, and data quality. Focus on designing reliable reloadable pipelines, monitoring production delivery, investigating failures, and preparing reproducible datasets for data scientists.

Location: Aarhus, Denmark; hybrid work with up to 2 work-from-home days per week. Relocation support is available for international candidates.

Company

hirify.global trades energy across 40+ markets and delivers solutions for energy producers and large-scale consumers as part of Equinor’s international network.

What you will do

  • Build, migrate, and operate data ingestion pipelines for market and vendor data from websites, APIs, and files.
  • Use Python and C# frameworks to deliver pipelines to Databricks/Delta Lake and existing trading data systems.
  • Improve reliability through automated tests, data-quality checks, safe reruns, and historical data reloads.
  • Monitor production data delivery, investigate failures, and fix recurring pipeline problems.
  • Work with data scientists to provide clean, reproducible datasets for forecasting and trading models.
  • Document reusable pipeline patterns and contribute to shared engineering standards.

Requirements

  • Relevant education in computer science, software engineering, data science, or a similar field, or equivalent practical experience.
  • Hands-on experience building data pipelines or data applications in Python, SQL, or C#.
  • Working knowledge of SQL and relational databases.
  • Familiarity with Git and version control.
  • Proficient English, both written and spoken.
  • Curiosity, ownership, willingness to learn, and motivation to improve production systems.
  • Prior energy-sector knowledge is not required.

Culture & Benefits

  • Hands-on Data Platform Enablement team with senior data practitioners and opportunities for increasing ownership.
  • Tailored growth plans, 100+ DC University courses, and Harvard Learning access.
  • Flexible hours, part-time options, and up to 2 work-from-home days per week.
  • One paid Friday off per month, additional time off, parental leave, and unlimited paid child sick days.
  • 10% pension, health insurance, bonus scheme, share savings, and home-office equipment coverage.
  • Office meals, wellness facilities, events, and other social and cultural benefits.

Hiring process

  • Candidates are screened on an ongoing basis; the application deadline is 18.11.2026.
  • International candidates can receive reimbursement for potential interview travel expenses and relocation support.

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