About the role
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?
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!
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