Analytics Engineer, Finance
Brief info about Vinted
Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third.
The Vinted Group is made up of three business units that support this mission:
Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life.
Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces.
Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members.
Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
Information about the position
As an Analytics Engineer, you will ensure we have the necessary high-quality data in our data warehouse for the Finance department's business and analytical needs. Reporting to the Manager of Data Science & Analytics (DSA), you will be joining a team that is part of the 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. You will be collaborating with cross-functional teams in different Finance departments.
In more detail, as an Analytics Engineer in the Finance department, you will establish the data foundations that drive Financial Control, Planning, and Tax, to name a few. You will design robust and future-proof pipelines to ensure the Finance team has access and can report accurate data that meets compliance needs and identify data-related process optimisation opportunities. You will have the chance to grow an in-depth understanding of various domains related to Finance while implementing and maintaining data pipelines to ingest data from external sources and ensure the data is processed, stored, monitored and available for analysis and reporting. The technology stack includes BigQuery, dbt, and Airflow.
We have three distinct roles within Data Science & Analytics (DSA). We believe each role can make a similar business impact in different ways, and therefore our salary ranges are the same for all three roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:
- Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
- Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision-making.
- Data Scientists are responsible for identifying algorithmic opportunities, ensuring those opportunities are addressed optimally, and designing, developing, and maintaining production-grade statistical and machine learning algorithms.
In this position, you’ll
- Architect, build, and maintain efficient and reliable data models and pipelines.
- Implement data quality checks and controls to increase the reliability and consistency of reporting.
- Translate Finance needs into clear technical delivery by gathering requirements in plain language, aligning definitions, and turning them into documented data models, reports, and metrics.
- Ensure end-users can optimally use the data models by driving optimisation, documentation, training, and monitoring best practices.
- Own production reliability by investigating issues in production, performing root cause analysis, and shipping fixes that prevent repeat failures.
- Proactively identify and drive opportunities to enhance the impact of Data Science and Analytics at Vinted.
About you
- Experience in Analytics Engineering, Data Engineering, ETL Development, or an equivalent field.
- Fluent in SQL with working experience in a programming language such as Python, Java, Scala, or similar. Experience with the rest of our stack is a plus, including BigQuery and Airflow.
- Hands-on dbt experience, including building well-tested and performant models.
- Experience with data modelling, data access, and data storage techniques.
- Excellent attention to detail, with an understanding of the value of documentation and clean, tidy code.
- 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.
Work perks
- The opportunity to benefit from our 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: we provide 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 - 21 of which can be spent working outside of the EU - on workation
- A dog-friendly office
Working at Vinted
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.