Analytics Engineer
ParfumadoJobsCloseBy Editorial Insights
Parfumado is looking for a structured Analytics Engineer to join the Tech & Data team in Amsterdam, full-time and onsite. You’ll own and scale our data platform, model data used across Marketing, Finance and Operations, and lay a solid foundation for growth. Design scalable Snowflake/dbt models, build ETL/ELT pipelines with Fivetran or Python, and translate business questions into practical dashboards (Tableau). The role requires 4-6 years of data engineering or analytics experience, strong SQL, and an ownership mindset in a lean, fast-paced environment. To apply, tailor your CV to show measurable impact, include relevant projects, confirm you’re in NL with a valid permit, and be ready for a quick video screen, a case, and a final chat.
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
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
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
Strong SQL skills and knowledge of data warehouse design
Hands-on coding experience in Python (or similar) for building pipelines
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)
Background in e-commerce, DTC or subscription-based businesses
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!