Data Engineer, Data Infrastructure

  • Vilnius
  • Kaunas
  • Multiple locations, Lithuania
  • Engineering
  • Vinted Group

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. Our backers include Accel, EQT Growth, Insight Partners, Lightspeed Venture Partners, Sprints, and TPG.

Information about the position 

As our new Data Engineer, you will be part of the Experimentation team. We are responsible for developing the experimentation data analysis tools used throughout the entire Vinted company. Unfamiliar with experimentation? No problem! Only a few companies manage to successfully scale experimentation company-wide, and we are aiming to be one of them. With your help, we can make it happen! 

At Vinted our vision is crystal clear: every decision, no matter how large or small, should be backed by solid experimental data. To realise this vision we aim to make our platform accessible, trustworthy and deeply embedded in our company’s culture. Experimentation is a core driver of innovation at Vinted.

In this role, you will develop software and data flows for our experimentation platform. Your work will be crucial to building a fast, scalable, and reliable experiment analysis infrastructure that supports it. You will enable our product engineering teams to execute experiments and rollout new features that will help Vinted innovate at new heights.

In this position, you’ll 

  • Build a world-class experiment analysis platform loved by everyone at Vinted
  • Automate everything - any part of designing, setting up, running, and wrapping up an experiment that should be automated, is automated
  • Mainly work with Python applications, Big Query data warehouse, DBT, Airflow scheduler
  • Take ownership and write clean, easy-to-understand code, and contribute to the team’s scientific and data software
  • Grow and use the opportunity to learn and share new knowledge in the experimentation field
  • Collaborate closely with the Data Science group to bring them continuous improvements and take our experimentation capabilities to a new level

About you 

  • A curious individual who wants to learn and master concepts and technologies we use
  • Experience with Python or any other modern programming language
  • Experience with analytical SQL
  • Knowledge of agile, DevOps & Automation - testing, build, deployment, CI/CD, etc.
  • Hands-on work experience in the development of operations at scale
  • Pragmatic approach to problem-solving and results-oriented mindset 
  • Able to adapt to changing priorities and requirements
  • Advantage: Experience building data intense applications, data platforms or data warehouses
  • Advantage: Solid software engineering skills, particularly relating to data engineering
  • Advantage: Background or practical experience in Mathematical statistics or Data science

Work perks 

  • The opportunity to benefit from our share options programme
  • 25 working days of holiday
  • Newest MacBook models
  • Free access to an office gym
  • 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
  • On-site canteen serving delicious homemade food at friendly prices
  • 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

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 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 € 3,558 - € 4,808 gross per month.


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Our Job Applicant Privacy Policy contains everything you need to know about how we use, store and collect this data, and your rights. Take a moment to read it before submitting your application: https://careers.vinted.com/privacy-policy

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