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About the Role

As an Analytics Engineer in Marketing, you will design, build, and maintain critical marketing data pipelines. You will develop robust, future-proof pipelines that ingest, process, and monitor data from diverse external sources to ensure high-integrity data for marketing teams. This role offers the opportunity to gain a deep understanding of the marketing domain and proactively identify data-related process optimization opportunities.

Responsibilities

Design and build scalable and reliable marketing data models in dbt/BigQuery/Looker.
Turn marketing operations and modelling data into decision-ready datasets for reporting, analysis, and optimization.
Implement data quality checks and controls to increase reliability and consistency of reporting.
Own production reliability by investigating incidents end-to-end, performing root-cause analysis, and shipping fixes.
Translate Marketing needs into clear technical delivery by gathering requirements, aligning definitions, and creating documented models and metrics.
Drive adoption and correct usage by writing practical documentation and enabling self-serve analysis.

Requirements

Hands-on experience in Analytics Engineering or Data Engineering (typically around 3 years), or a closely related role with ownership of production pipelines.
Strong SQL skills, including writing readable, maintainable queries and improving performance.
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, catching edge cases, and keeping metric definitions consistent and well-documented.
Problem-solving and optimization mindset.
Strong communication and collaboration skills, with the ability to build and maintain cross-functional relationships and translate business needs into technical solutions.
Excellent verbal and written communication skills in English.

Skills

SQL
dbt
Google Cloud Platform
Airflow
Python
Looker
Git

Location

Vilnius

Work Type

Hybrid

Experience Level

3 years

Salary/Compensations

€61.200—€82.800 EUR

Benefits

Share options programme
30 days of paid annual leave
Newest MacBook models
Confidential Employee Assistance Program (EAP) for you and your family
Home office support: IT workstation equipment and a personal budget of up to €540 for home workplace furniture
Lunch benefit per your workday
Frequent team-building events
A personal monthly budget for shopping on Vinted
Access to a discounted gym membership plan
Pension Plan with Vinted matching 150% of your chosen contribution
Supplemental Private Health Insurance
Life and Disability insurance
A subsidised Deutschlandticket for your commute to the office by public transport
The opportunity to spend up to 90 days per year on workation (21 of which can be spent working outside of the EU)
Dog-friendly office
Individual Learning Budget: annual learning budget to support personal and career development
Hybrid Work: 2 days in the office recommended but not enforced

About the Company

Vinted's mission is to make second-hand the first choice.
The Vinted Group consists of Vinted Marketplace (Europe’s leading platform for second-hand fashion), Vinted Go (enhancing the shipping experience), and Vinted Pay (secure payment solutions).
Founded in 2008 in Lithuania, Vinted became Lithuania's first unicorn in 2019.
Headquarters remain in Vilnius, with offices across Europe and a team of over 2,000 people.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging.
Vinted welcomes applications from people of all backgrounds, identities and life experiences.
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.