Analytics Engineer, Revenue, Purchase & Order

We are looking for an Analytics Engineer to join our Revenue, Purchase & Order Analytics Engineering team.

The area sits at the heart of some of the most critical customer journeys and commercial systems across Vinted’s Marketplace Business Unit, spanning Revenue (pricing and advertising), Purchase (inquiries and checkout), and Orders (transactions and fulfilment). Together, these domains create a rich, high-volume, and deeply interconnected data ecosystem.

As an Analytics Engineer, you’ll work at the intersection of data, engineering, and product, building trusted data products that power business and product decision-making across these domains.

• Build scalable data products: Design, develop, and evolve reliable, cost-efficient data products and pipelines that power analytics and machine learning use cases across the domains.
• Build quality in by design: Embed automated testing, validation, and quality controls throughout the data lifecycle to ensure data remains accurate, consistent, and complete.
• Strengthen observability: Improve monitoring and alerting to detect and address issues before they impact downstream consumers.
• Own production reliability: Take end-to-end ownership of production data systems, from investigating incidents and diagnosing root causes to implementing durable fixes that prevent recurrence and improve long-term resilience.

• Revenue, Purchase & Order Analytics Engineering: Join a talented and driven team of 7+ Analytics Engineers, working across interconnected domains and tackling complex, high-impact data challenges.
• Data & Decision Scientists: Work closely with Data Scientists and Decision Scientists to build trusted data foundations that enable better business and product decisions.
• Engineering, Product & Business: Partner with Backend Engineering, Product, and Business teams to understand their needs, shape technical requirements, and translate them into well-designed, trusted data solutions.
• The Analytics Engineering Guild: Be an active member of Vinted’s 40+ member AE Guild, benefiting from shared tooling, engineering standards, and knowledge across domains. You’ll also have opportunities to contribute to “side quests” that improve engineering practices, tooling, and reusable capabilities.

• Experience working as an Analytics Engineer, Data Engineer, or in a closely related data role.
• Strong SQL and data warehousing fundamentals, with the ability to build clean, performant, and maintainable data solutions.
• Hands-on experience with dbt or a similar data transformation framework, building well-structured and tested data models.
• Experience working with a cloud data warehouse such as BigQuery, Snowflake, Redshift, or similar.
• A solid understanding of data modelling principles and their application to real-world analytical problems.
• Familiarity with workflow orchestration tools such as Airflow, Dagster, or similar.
• Comfortable working with high-volume, business-critical data, balancing a high bar for quality and reliability with a pragmatic bias for action.
• Strong written and verbal communication skills in English, with the ability to clearly explain technical concepts and trade-offs to both technical and non-technical audiences.

• The opportunity to benefit from our share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Confidential Employee Assistance Program (EAP) for you and your family
• Frequent team-building events
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Lunch benefit per working day
• A personal monthly budget for shopping on Vinted
• Collective Defined Contribution Pension plan
• NS Business Card for your commute to the office by public transport
• Company bike leasing scheme
• Monthly budget for a flexible benefits platform
• Work from Home allowance [[DELETE FOR Breda, Utrecht, Amsterdam Store]]
• A dog-friendly office

Workation policy

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual learning budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid work 

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal opportunity

We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!