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.

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?

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.

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!