c#pythonsqlgitdata engineeringdatabricksdata pipelinesdata qualitydelta lake
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткие задачи по инженерии данных, современная lakehouse-платформа, сильная поддержка развития и щедрые условия по отпуску делают вакансию особенно привлекательной.
Современный стек
Понятные задачи
Щедрый отпуск
Поддержка развития
Энергетический трейдинг
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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