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 makeYou’ll own and improve our data platform, keeping it fast, scalable, and trustworthyYou’ll model the data that teams rely on every day to make better decisionsYou’ll help prepare Parfumado for future growth by laying a rock-solid data foundationWhat You’ll DoMaintain and develop our data architecture to ensure reliability and performanceDesign and optimise scalable data models in Snowflake and dbtBuild and manage ETL/ELT pipelines using tools like Fivetran or custom Python codeTranslate business questions into practical data solutions and insightful dashboardsMonitor data quality and proactively fix issues before they impact teamsCollaborate across departments (Marketing, Finance, Operations) to connect data needs to solutionsSupport a data-driven culture by improving documentation and making data more accessibleWhat We OfferA 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 moreDiscounts at Adidas, Zalando, NAK-D and other top brands via our Corporate Benefits platformA healthy and delicious team lunch at our officeFun team activities and offsites throughout the year25 vacation days plus an extra day off on your birthdayA bike plan via SwapfietsA MacBook laptopPension plan€750 annual training budget for personal developmentAnd of course, your choice of monthly perfume. Smells nice, right?What You BringHere’s what we’re looking for in our new Analytics Engineer:4–6 years experience in data engineering or analytics engineeringStrong SQL skills and knowledge of data warehouse designHands-on coding experience in Python (or similar) for building pipelinesFamiliarity with modern data stack tools like Snowflake, dbt, and FivetranExperience working with dashboard tools (we use Tableau)Pragmatic and structured mindset, able to balance speed with reliabilityOwnership mentality; you thrive in a lean and fast-paced environmentBonus if you also bring:Experience with cloud-based functions (e.g. Azure Functions or similar)Background in e-commerce, DTC or subscription-based businessesUnderstanding of recommender systems and monitoring pipeline healthInterested?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!