Jobid=620215128172731594 (0.0498)
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
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You’ll own and improve our data platform, keeping it fast, scalable, and trustworthy
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You’ll model the data that teams rely on every day to make better decisions
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You’ll help prepare Parfumado for future growth by laying a rock-solid data foundation
What you’ll do
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Maintain and develop our data architecture to ensure reliability and performance
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Design and optimise scalable data models in Snowflake and dbt
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Build and manage ETL/ELT pipelines using tools like Fivetran or custom Python code
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Model subscription and ecommerce metrics including MRR, churn, cohort retention, LTV, and payback period
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Build and maintain marketing attribution models across paid channels (Meta, Google, TikTok, affiliate)
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Integrate data from our commerce platform, subscription billing, CRM, and ad platforms
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Translate business questions into practical data solutions and insightful dashboards
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Monitor data quality and proactively fix issues before they impact teams
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Collaborate across departments (Marketing, Finance, Operations) to connect data needs to solutions
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Mentor a junior Data Analyst
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Support a data-driven culture by improving documentation and making data more accessible
What we offer
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A salary between €5,000-€6,000 per month (depending on experience)
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A flexible Alleo budget you can use for Felyx, Treatwell, Uber Eats, ClassPass, Peakz Padel and more
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Discounts at Adidas, Zalando, NAK-D and other top brands via our Corporate Benefits platform
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A healthy and delicious team lunch at our office
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Fun team activities and offsites throughout the year
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25 vacation days plus an extra day off on your birthday
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A bike plan via Swapfiets
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A MacBook laptop
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Pension plan
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€750 annual training budget for personal development
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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:
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4–6 years professional experience in data engineering or analytics engineering
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Background in e-commerce, DTC, or subscription-based businesses
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Strong SQL skills and knowledge of data warehouse design
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Hands-on coding experience in Python (or similar) for building pipelines
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Experience modeling web analytics and customer behavior data, including web/app event streams (GA4, Segment, or similar) and customer journey data
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Familiarity with modern data stack tools like Snowflake, dbt, and Fivetran
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Experience working with dashboard tools (we use Tableau)
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Pragmatic and structured mindset, able to balance speed with reliability
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Ownership mentality; you thrive in a lean and fast-paced environment
Bonus if you also bring:
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Experience with cloud-based functions (e.g. Azure Functions or similar)
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Understanding of recommender systems and monitoring pipeline health
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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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