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4 дня назад

Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Sweden
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 (AI): Building and evolving analytical data infrastructure for an energy platform with an accent on agentic analytics, data modelling, APIs, and scalable pipelines. Focus on designing trustworthy LLM-powered data agents, serving governed data through semantic layers and MCP servers, and maintaining secure, cost-effective cloud infrastructure.

Location: Stockholm, Sweden; hybrid

Company

hirify.global is an energy company using technology, data, and AI to help households consume electricity more sustainably and affordably.

What you will do

  • Build an agentic framework that lets colleagues ask questions in plain language and receive grounded answers from certified data.
  • Serve analytical data to employees, internal agents, and customers through semantic layers, APIs, and MCP servers with appropriate access controls.
  • Build and maintain scalable data pipelines and data ingestion and processing frameworks in a modern cloud environment.
  • Own and evolve the infrastructure behind the data platform, improving stability, performance, scalability, and cost-effectiveness.
  • Collaborate with stakeholders to scope work, solve problems at the source, and refine data workflows and architecture.

Requirements

  • 3+ years of experience building ingestion and transformation frameworks for large, fast-growing datasets.
  • Experience designing, building, and operating APIs for analytical data, including performance, reliability, versioning, and authentication.
  • Familiarity with Infrastructure as Code, CI/CD pipelines, and version control.
  • Hands-on experience building LLM-powered applications or agents using tool use, retrieval, evaluation, and MCP.
  • Strong knowledge of dimensional modelling, metric definitions, semantic layers, data privacy, and access control.
  • Experience building data products collaboratively with engineering and other stakeholders.

Culture & Benefits

  • Work on technology supporting energy independence and more sustainable electricity consumption.
  • Join a product and engineering organization with colleagues across Stockholm, Berlin, Amsterdam, Oslo, and Førde.
  • Work in a collaborative environment that values curiosity, ownership, experimentation, and continuous improvement.
  • Contribute to an AI-focused data platform serving employees, agents, and external customers.
  • Work in a diverse environment that welcomes applicants from every background and identity.

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