6 дней назад
Senior Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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