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.

Responsibilities

Own and improve the data platform, keeping it fast, scalable, and trustworthy; Model the data that teams rely on every day to make better decisions; Help prepare Parfumado for future growth by laying a rock-solid data foundation; Maintain and develop 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; Model subscription and ecommerce metrics including MRR, churn, cohort retention, LTV, and payback period; Build and maintain marketing attribution models across paid channels (Meta, Google, TikTok, affiliate); Integrate data from commerce platform, subscription billing, CRM, and ad platforms; 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; Mentor a junior Data Analyst; Support a data-driven culture by improving documentation and making data more accessible

Requirements

4–6 years professional experience in data engineering or analytics engineering; Background in e-commerce, DTC, or subscription-based businesses; Strong SQL skills and knowledge of data warehouse design; Hands-on coding experience in Python (or similar) for building pipelines; Experience modeling web analytics and customer behavior data, including web/app event streams (GA4, Segment, or similar) and customer journey data; 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

Nice to have

Experience with cloud-based functions (e.g. Azure Functions or similar); Understanding of recommender systems and monitoring pipeline health

Benefits

Flexible Alleo budget for Felyx, Treatwell, Uber Eats, ClassPass, Peakz Padel and more; Discounts at Adidas, Zalando, NAK-D and other top brands via Corporate Benefits platform; Healthy and delicious team lunch at the office; Fun team activities and offsites throughout the year; 25 vacation days plus an extra day off on your birthday; Bike plan via Swapfiets; MacBook laptop; Pension plan; €750 annual training budget for personal development; Monthly perfume of your choice