Analytics Engineer

We're looking for a structured and solution-oriented Analytics Engineer to join our Tech & Data team. Someone who gets excited about building reliable, scalable data infrastructure and unlocking insights that drive smarter decisions across the company.

In this role, you'll combine thinking with doing: you collaborate closely with colleagues across departments, bring clarity to complexity, and get the freedom to design systems that help build Europe's #1 perfume discovery platform. Sound like you? Keep on reading.

Please note: you are currently living in the Netherlands and have a valid work permit or visa to work here.

The impact you’ll make

• You’ll own and improve our data platform, keeping it fast, scalable, and trustworthy

• You’ll model the data that teams rely on every day to make better decisions

• You’ll help prepare Parfumado for future growth by laying a rock-solid data foundation

What you’ll do

• Maintain and develop our data architecture to ensure reliability and performance

• Design and optimise scalable data models in Snowflake and dbt

• Build and manage ETL/ELT pipelines using tools like Fivetran or custom Python code

• Model subscription and ecommerce metrics including MRR, churn, cohort retention, LTV, and payback period

• Build and maintain marketing attribution models across paid channels (Meta, Google, TikTok, affiliate)

• Integrate data from our commerce platform, subscription billing, CRM, and ad platforms

• Translate business questions into practical data solutions and insightful dashboards

• Monitor data quality and proactively fix issues before they impact teams

• Collaborate across departments (Marketing, Finance, Operations) to connect data needs to solutions

• Mentor a junior Data Analyst

• Support a data-driven culture by improving documentation and making data more accessible

What we offer

• A salary between €5,000-€6,000 per month (depending on experience)

• A flexible Alleo budget you can use for Felyx, Treatwell, Uber Eats, ClassPass, Peakz Padel and more

• Discounts at Adidas, Zalando, NAK-D and other top brands via our Corporate Benefits platform

• A healthy and delicious team lunch at our office

• Fun team activities and offsites throughout the year

• 25 vacation days plus an extra day off on your birthday

• A bike plan via Swapfiets

• A MacBook laptop

• Pension plan

• €750 annual training budget for personal development

• And of course, your choice of monthly perfume. Smells nice, right?

Requirements

What you bring

Here's what we're looking for in our new Analytics Engineer:

• 4–6 years professional experience in data engineering or analytics engineering

• Background in e-commerce, DTC, or subscription-based businesses

• Strong SQL skills and knowledge of data warehouse design

• Hands-on coding experience in Python (or similar) for building pipelines

• Experience modeling web analytics and customer behavior data, including web/app event streams (GA4, Segment, or similar) and customer journey data

• Familiarity with modern data stack tools like Snowflake, dbt, and Fivetran

• Experience working with dashboard tools (we use Tableau)

• Pragmatic and structured mindset, able to balance speed with reliability

• Ownership mentality; you thrive in a lean and fast-paced environment

  Bonus if you also bring:

  • Experience with cloud-based functions (e.g. Azure Functions or similar)

  • Understanding of recommender systems and monitoring pipeline health

Interested?

Great! We’d love to receive your CV or LinkedIn profile. Curious what it’s like to work at Parfumado? Take a look at our website, Instagram, TikTok, or LinkedIn to get a feel for who we are.

Acquisition in response to this vacancy is not appreciated.

What’s next?

You’ll hear from us within 5 working days. If we’re excited about your profile, we’ll invite you for a first video call. After that, the next step is a short case / assignment and walkthrough with your future manager and a final deep dive chat to get to know each other even better. For some roles, we also conduct a quick reference check. And then… you might just be our new Analytics Engineer!