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6 дней назад

Senior Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Norway
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Engineer (AI): Building scalable data pipelines, models, and platforms that make analytics reliable and trustworthy across a SaaS enterprise architecture platform with an accent on data quality, maintainability, and architectural decision-making. Focus on diagnosing schema and system-level issues, reducing complex technical debt, and designing sustainable data infrastructure while collaborating with product, engineering, and analytics teams.

Location: Oslo, Norway; hybrid work with 2–3 days per week from the Oslo office

Company

hirify.global is an AI-powered Enterprise Architecture SaaS platform that helps organizations connect systems, people, and processes through a collaborative digital twin of the business.

What you will do

  • Design and implement scalable data pipelines that support analytics and business decision-making.
  • Improve data models, ingestion logic, and processing frameworks for performance and maintainability.
  • Resolve complex data quality and system-level issues by identifying root causes and implementing durable fixes.
  • Contribute to data platform architecture and reduce high-complexity technical debt.
  • Improve technical documentation and help onboard and mentor newer engineers.
  • Collaborate with product, engineering, and analytics colleagues to align data infrastructure with business growth.

Requirements

  • Proven professional experience in data engineering, ideally in a high-growth SaaS or technology environment.
  • Ability to write clean, maintainable code and build reliable systems.
  • Comfort working with ambiguity, defining scope, and making architectural decisions.
  • Ability to translate technical complexity into clear decisions for non-engineering stakeholders.
  • Practical experience embedding AI tools into day-to-day work and delivery.

Culture & Benefits

  • Values centered on bold decision-making, candid collaboration, shared knowledge, and ownership.
  • Employee stock options and a competitive package supporting long-term success.
  • 25 days of annual leave offered globally.
  • Enhanced parental leave, retirement benefits, and travel, health, disability, and life insurance.
  • Annual learning budget for professional development.

Hiring process

  • Introductory screening.
  • Hiring manager interview followed by a case study or technical interview.
  • Values interview.

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