We are looking for an Area Lead Analytics Engineer to shape the technical direction of analytics engineering across our Revenue, Purchase, and Orders domains.

The Revenue, Purchase & Orders area sits at the heart of some of the most critical customer journeys and commercial systems in Vinted’s Marketplace business unit. Its scope spans Revenue, including pricing and advertising; Purchase, including checkout and transaction flows; and the Orders lifecycle, from a successful purchase through order management and completion.

Together, these domains form a broad and highly interconnected data landscape. As Area Lead Analytics Engineer, you will help ensure that the underlying data foundations evolve coherently and at scale. You will work across domains to identify shared concepts and dependencies, address structural data and architectural challenges, and guide the area toward a more scalable, consistent, and sustainable data ecosystem.

This is a senior Individual Contributor role combining hands-on engineering with architectural leadership. You will partner closely with area and domain leads, define technical standards and reusable patterns, build scalable data products, and reduce systemic complexity as our data ecosystem grows.

Your impact will extend beyond the area itself. You will help raise engineering quality and consistency across the wider Data Science & Analytics (DSA) function, working closely with Analytics Engineers, Data Scientists, Decision Scientists, Engineering, Product, and Business teams.

• Set the long-term technical direction across Revenue, Purchase, and Orders.
• Design and build scalable, reliable, and cost-efficient data products.
• Identify cross-domain dependencies and ensure shared concepts are consistently represented in data models and architecture.
• Define standards for data modeling, semantic layers, event data, observability, reliability, and testing.
• Lead technical decisions for cross-domain initiatives and create reusable patterns and architectural guardrails.
• Drive improvements in data quality, maintainability, ownership, cost efficiency, and operational excellence across DSA.
• Partner with Engineering on event-driven and behavioral data, from event definitions and instrumentation to reliable downstream models.
• Mentor other ICs through technical guidance, design reviews, and code reviews.

You are a seasoned Analytics Engineer, Data Engineer, or technical IC with strong engineering fundamentals and a track record of creating impact beyond your own delivery.

We are looking for:

• Experience designing and operating production-grade data models, pipelines, and data products at scale.
• Strong expertise in SQL, data modeling, semantic layers, and transformation frameworks such as dbt.
• Experience with modern cloud data platforms and technologies such as BigQuery, Snowflake, Redshift, Iceberg, GCP, AWS, or Azure.
• Strong understanding of testing, lineage, data quality, observability, reliability, query performance, and cloud cost governance.
• Experience working with event and behavioral data, including event schemas, instrumentation, and translating them into reliable analytical models.
• Experience with orchestration tools such as Airflow, Dagster, or similar, and a practical understanding of event-driven architectures.
• Demonstrated ability to establish technical standards, reusable patterns, or architectural guardrails that improve how multiple teams work.
• Strong systems thinking, with the ability to identify dependencies, repeated patterns, architectural risks, and opportunities to simplify complex data ecosystems.
• Evidence of cross-team technical influence and impact at scale, whether through architectural change, scaling engineering practices, or raising the maturity of a data function.
• Ability to communicate technical trade-offs clearly, influence without formal authority, and mentor other ICs.
• Familiarity with ML-facing workloads, feature stores, and BI platforms such as Looker, Tableau, or Power BI is valuable.

This is a broad, cross-domain role, so it is likely to be the best fit for candidates who have had the opportunity to work across multiple teams, domains, or areas of a data organisation.

Experience within a single vertical can absolutely be valuable; for this particular role, we are especially interested in examples where you have also influenced shared architecture, technical standards, or ways of working beyond your immediate area.

This is also a business-facing analytics engineering role rather than a data platform engineering role. If your experience has primarily focused on building data platforms, infrastructure, or developer tooling, with limited hands-on experience designing business-facing data models, pipelines, and analytical data products, this role is unlikely to be the right fit.

Similarly, we would love to hear about situations where your impact has extended beyond the systems you personally delivered for example, by helping scale an analytics engineering function, introducing practices adopted by several teams, leading architectural change, or improving the reliability and maintainability of a broader data ecosystem.

Experience in marketplace or e-commerce, modern warehouse/lakehouse architectures, data mesh, or data products serving both analytics and ML workloads.

Studies show that women and members of underrepresented communities often apply for jobs only if they meet 100% of the qualifications. If you do not recognise yourself in all of the above, you might still be an excellent candidate. If this role excites you, we encourage you to apply.

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office
• In Vilnius office: Gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast
• Joining us from outside Lithuania? You're eligible for our Limited-time Relocation Package! It includes a €30k gross bonus and 2 months of temporary housing (check for more info)

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

Hybrid Work 

We’ve adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.