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
- 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
- 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?
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
- 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
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!
#J-18808-Ljbffr€5000 - €6000 monthly