Analytics Engineer, Marketing DSA

As an Analytics Engineer in Marketing, you’ll design, build, and operate the marketing data pipelines that teams rely on to optimize marketing performance and decision-making.

You’ll partner closely with:

• Marketing Operations Intelligence and Marketing Modeling Intelligence teams , who use this data daily for performance reporting and model-driven optimisation.
• Other Analytics Engineers in Marketing, with shared ownership of the marketing data domain
• A broader 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 domain-ready reporting.

You will report to the Manager of Data Science & Analytics, Marketing Analytics Engineering.

• Architect and build scalable and reliable marketing data models in dbt/BigQuery/Looker that turn marketing operations and modelling data into decision-ready datasets used for reporting, analysis and optimization.
• Implement data quality checks and controls (tests, regressions, anomaly detection) to increase reliability and consistency of reporting.
• Own production reliability by investigating incidents end-to-end, performing root-cause analysis, and shipping fixes that prevent repeat failures.
• Translate Marketing needs into clear technical delivery by gathering requirements in plain language, aligning definitions and turning them into documented models and metrics.

• 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.
• Working knowledge of Git and collaboration practices (pull requests, code reviews, version control).
• Strong attention to detail, including validating outputs (tests/reconciliations), catching edge cases and keeping metric definitions consistent and well-documented.
• Problem-solving and optimization mindset.

Nice to have

• Experience with the rest of our stack is a plus (Google Cloud Platform, Airflow, Python, Looker)

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Newest MacBook models
• Digital mental and emotional health support and Employee Assistant Program (EAP)
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• 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