Analytics Engineer

• At least 3 years of experience in analytics engineering or technical data roles.
• Extremely proficient in SQL. Experience with Python. 
• Experience with dbt and cloud platforms such as BigQuery or Snowflake.
• Understands 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, also with colleagues without a technical background.

• Money.
• More than 30 training courses in our own Studiefabriek.
• Discount on all the products we sell.
• 25 vacation days. If you promise to come back.
• Travel allowance and pension scheme.
• An office you'll want to take photos of in a prime location. From Rotterdam Central, it's a 3-fall journey before you arrive. Okay, it's a 2-minute walk.
• An unprecedentedly good working atmosphere. With freshly prepared snacks, monthly drinks, legendary Coolblue parties, the funniest team activities and an informal, playful department.
• Room for new initiatives and ideas. We are always open to those. Whether you work with us for a week, a month, or a year.
• Challenging work to fully immerse yourself in, so that you occasionally forget you are at work.
• A flat organization in the broadest sense of the word. This means you can just grab a beer with the boss.

As an Analytics Engineer at Coolblue, you build data models that make a difference. In the marketing data team, you ensure that performance data from various online and offline channels comes together correctly, is accurate, and is immediately usable. You work on the technical foundation behind various marketing channels such as social, TV, and radio, helping the team make better decisions faster. In doing so, you collaborate extensively with data specialists, marketing specialists, and data engineers. You think like a business partner, but build like an engineer. This is how you make our data side a little better every day.

• Building clear, scalable, and tested data models in Coolblue’s data hub for channels such as TV and radio marketing.
• Collaborating with data engineers on smarter connections, pipelines, and a more robust data architecture.
• Liaising with many different marketing stakeholders to understand what teams need.
• Cleaning, validating, and making raw campaign data available for analyses and dashboards.
• Working with version control, CI/CD, and peer reviews as standard.
• Sharing knowledge with colleagues through documentation, coaching, and code reviews.
• Setting up data modularly and maintainably for long-term use.
• Linking technology and business logically with smart solutions.
• Keeping your knowledge up-to-date with new tools and techniques.

As an Analytics Engineer at Coolblue, you build smart data models that enable teams to make better decisions every day. You combine sharp SQL skills with a good sense of business. You transform messy data into clear models that analysts, dashboards, and machine learning can build upon.