Data Engineer (Mid/Senior) (AI)

Location: Hybrid in Oslo, Norway, with 2–3 days per week from the office

Company

hirify.global is a global Norwegian scale-up providing an AI-powered Enterprise Architecture platform that helps organizations understand and manage complex digital landscapes.

What you will do

• Design and implement scalable data pipelines supporting analytics and business decision-making.
• Build, maintain, and monitor pipeline health through alerting, diagnostics, and automated safeguards.
• Improve data models, ingestion logic, and processing frameworks for performance and maintainability.
• Partner with Product, Customer Success, Finance, and other stakeholders to translate business needs into reliable data solutions.
• Contribute to data-platform architecture and explain technical trade-offs to technical and non-technical audiences.
• Use AI to build, test, and automate data engineering workflows.

Requirements

• 4+ years of experience building and operating production-grade data pipelines and warehouse infrastructure.
• Strong expertise in SQL and Python.
• Hands-on experience with cloud data warehouses such as Snowflake or Redshift.
• Experience with orchestration tools such as Airflow, Dagster, or Argo and modern data-stack tools such as dbt.
• Understanding of pipeline architecture, ELT/ETL patterns, and data-warehouse design principles.
• Strong communication skills, pragmatic data-quality judgment, and comfort working with ambiguity.

Culture & Benefits

• Hybrid working policy with 2–3 office days per week in Oslo.
• Employee stock options.
• 25 days of annual leave offered globally.
• Enhanced parental leave available globally.
• Retirement, travel, health, disability, and life insurance benefits.
• Annual learning budget.

Hiring process

• Intro screen.
• Hiring Manager interview.
• Technical case study followed by a Values interview.