aidata engineeringcloudllmdata modelinginfrastructure as codeci cdapisdata pipelinesmcp
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$47к$72кмедиана$94к
50 в выборке
На СНГ рынке: $3.1к/мес ($1.9к - $4.1к)
83
Хорошая вакансия
развернуть
У роли понятный фокус на data engineering и содержательные задачи с AI в продуктовой компании, но без зарплаты сложнее оценить предложение целиком.
Кликните для подробной информации
Зарплата не указанаСовременные задачиПродуктовая компанияПонятные обязанностиЭнергетический переход
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →