Analytics Engineer

Role Overview

As an Analytics Engineer at Coolblue, you build data models that make a difference. You work on the technical basis behind various marketing channels and help the team make better decisions faster.

What You Will Do

You will build clear, scalable, and tested data models, work with data engineers on smarter connections and pipelines, and clean up raw campaign data for analysis and dashboards.

Why It Might Be a Fit

You will work closely with data specialists, marketing specialists, and data engineers, and have the opportunity to share knowledge with colleagues via documentation, coaching, and code reviews.

Requirements

• At least 3 years of experience in analytics engineering or technical data roles
• Extremely skilled in SQL
• Experience with Python
• Experience with dbt and cloud platforms such as BigQuery or Snowflake
• Understand how to set up and optimize data warehouses, pipelines, and flows
• Familiar with visualization tools such as Looker or something similar
• Knowledge of data observability tools such as Monte Carlo is a plus
• Strong in communication, even with colleagues without a technical background

Benefits

• More than 30 training sessions in our own Study Factory
• Discount on all the stuff we sell
• 25 vacation days
• Reimbursement of travel expenses
• Pension scheme
• An office where you want to take photos on a top location
• Unparalleled good work atmosphere
• Room for new initiatives and ideas