Senior Data Engineer for US Product Team (Databricks/Azure)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Denmark
aidata engineeringazureetldatabrickseltdata pipelinesdata modelling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$51к$60кмедиана$65к
7 в выборке
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
90
Крутая вакансия
развернуть
Роль четко описана: вы будете отвечать за промышленную платформу данных и работать рядом с командой энерготрейдинга. Развитие и дополнительные дни отдыха делают предложение особенно привлекательным.
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer for US Product Team (Databricks/Azure): Building and operating scalable data infrastructure and production-grade pipelines for algorithmic US energy trading with an accent on data quality, reliability, maintainability, and stakeholder-driven technical design. Focus on resolving critical production issues, improving Databricks and Azure platform services, mentoring engineers, and exploring AI-enabled data solutions.
Location: Aarhus, Denmark; hybrid work with up to 2 work-from-home days per week.
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
Design, develop, document, and implement scalable data infrastructure, platforms, and production-grade pipelines.
Improve workflows and platform services while ensuring data quality, reliability, maintainability, and delivery quality.
Own critical production issues, identify root causes, and implement solutions that restore reliable operation and prevent recurrence.
Translate business needs into technical designs, requirements, deliverables, responsibilities, and success criteria.
Collaborate with traders, quants, architects, product owners, engineers, and business stakeholders on critical trading processes.
Mentor fellow engineers, share knowledge, provide constructive feedback, and contribute to the long-term product roadmap.
Requirements
Relevant education in computer science, software engineering, data engineering, or a similar technical field, or equivalent practical experience.
Solid experience in a data engineering role designing, building, and operating production-grade data platforms and pipelines.
Familiarity with Databricks and data-related Azure technologies.
Proficiency in ETL/ELT development, data modelling, and designing scalable, maintainable data solutions.
Ability to translate business requirements into technical designs and communicate effectively with architects, product owners, engineers, and business stakeholders.
Proficiency in written and spoken English.
Prior energy-sector knowledge is not required.
Culture & Benefits
Flexible working hours, hybrid work with up to 2 work-from-home days per week, and part-time options.
Tailored growth plans, 100+ DC University courses, Harvard Learning access, and global career paths through Equinor.
Paid Friday off each month except July and December, 5 additional vacation days, senior days, and up to 26 weeks of paid parental leave.
10% pension, health insurance, bonus scheme, share savings programme, paid home-office setup, and unlimited paid child sick days.
Social events, cultural discounts, organic meals, on-site wellness facilities, and an office in central Aarhus.
Hiring process
Candidates are screened on an ongoing basis; the application deadline is 13.11.2026.
International candidates can receive reimbursement for travel expenses related to potential interviews and support with the relocation process.
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