Data Engineer - Build Scalable Personalisation Pipelines

Cheffelo; Oslo; On-site; NOK 700,000 - 1,000,000; Full time

Job summary

Cheffelo is seeking a Data Engineer to join our fast-growing data platform team in Norway. You’ll help shape the next generation of personalisation and experimentation for our products, serving households across Norway, Sweden, Denmark and Finland.

You’ll work in a 6-person Data Platform Team with a wider 10-person data discipline, building scalable pipelines, data models, and shared tooling. Expect collaboration, growth, and AI-assisted development as part of your daily work.

Qualifications

• 2 to 5 years working with data transformations and modelling.
• Comfortable with Python and SQL, and you enjoy structuring data models that make sense to other people.
• Collaborative by default, share work early, give and take feedback.
• Curious about AI-assisted development, familiar with Claude Code, Codex or Cursor is a plus.
• Product mindset with focus on user and business outcomes, not just pipelines.
• Clear communicator in English.

Responsibilities

• Model clean, trustworthy dimensional data for analysts, data scientists and stakeholders across the business.
• Build production‑grade pipelines in Python that feed the models, dashboards and decisions the rest of the business relies on.
• Build and maintain the shared tools and frameworks that speed up the discipline.
• Raise the bar through code reviews and knowledge shares, and learn from others.

Skills

Python

SQL

Data modeling

English

Collaboration

Tools

Databricks

dbt

Terraform

GitHub

Azure

Power BI

Job description

Cheffelo is seeking a Data Engineer to join our fast-growing data platform team in Norway. You’ll help shape the next generation of personalisation and experimentation for our products, serving households across Norway, Sweden, Denmark and Finland.

You’ll work in a 6-person Data Platform Team with a wider 10-person data discipline, building scalable pipelines, data models, and shared tooling. Expect collaboration, growth, and AI-assisted development as part of your daily work.