As an Analytics Engineer at Vinted Go, you will build and run the financial data pipelines that Finance teams depend on for accurate cost control and financial reporting—especially during Month-End Closing, when timing and correctness are non‑negotiable.

You’ll partner closely with:

• Vinted Go Financial Operations and Group-level Financial Reporting teams (mostly Vilnius-based), who use this data daily to reconcile shipping costs and revenue.
• A broader Vinted Go Analytics Engineering team (7 Analytics Engineers) plus a 40+ person Analytics Engineering Guild across Vinted, where you’ll benefit from established patterns, code reviews, reusable dbt and python components, and regular knowledge sharing.

This is an end-to-end role across BigQuery, DBT, Looker: from raw ingestion and transformations through to trusted, well-documented datasets and Finance-ready reporting.

• Architect and build scalable and reliable financial data models in dbt/BigQuery/Looker that turn shipping operations & billing data into Finance-ready datasets used for cost control, reporting, reconciliation.
• Implement data quality checks and controls (tests, reconciliations, anomaly detection) to increase reliability and consistency of controlling and reporting operations.
• Own existing & extend monitoring and observability for critical pipelines (freshness, completeness, volume shifts, key metric drift) so issues are detected early and communicated clearly.
• Own production reliability by investigating incidents end-to-end, performing root-cause analysis, and shipping fixes that prevent repeat failures.
• Translate Finance needs into clear technical delivery by gathering requirements in plain language, aligning definitions (e.g., “what counts as shipped”, “which date drives recognition”), and turning them into documented models and metrics.
• Drive adoption and correct usage by writing practical documentation, enabling self-serve analysis, and partnering with Finance on training and change management when logic or definitions evolve.

• Background in Financial Reporting, Controlling, Accounting, or a closely related area, with an understanding of why revenue/cost recognition accuracy matters and how Month-End Closing works in practice.
• Hands-on experience in Analytics Engineering or Data Engineering (typically around 2 years), or a closely related role with ownership of production pipelines.
• Strong SQL skills, including writing readable, maintainable queries and improving performance when datasets scale.
• Hands-on dbt experience, including building obvious, well-tested and performant models. Experience with the rest of our stack is a plus (Google Cloud Platform, Airflow, Python, Looker)
• Understanding of common data architectures and data modeling concepts, such as dimensional modeling, Kafka/Lambda architectures etc.
• Working knowledge of Git and collaboration practices (pull requests, code reviews, version control).
• Ability to work effectively with non-technical stakeholders, especially Finance - explaining trade-offs, clarifying definitions, and communicating incidents without jargon.
• Excellent English communication (written and spoken), with a habit of documenting decisions and changes clearly.

• 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
• Mental and emotional health support through the Mindletic app
• 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

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 the 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.

The salary range for this position is € 3,433 - € 4,650 gross per month.