Vinted group.
Information about the position
In this role you will become a part of the Payments Intelligence team in Vinteds Payments business unit. This team consists of a mix of Analytics Engineers, Decision Scientists and Data Scientists and works together with the product and engineering teams in the business unit as well as other teams across the whole DSA function on cross-domain topics. The Payments business unit consists of two domains: Marketplace Payments and Vinted Pay. Marketplace Payments is responsible for everything that is needed to make it possible to pay for items on Vinted while Vinted Pay is a brand new payment service provider that we are building. Your work will be mainly focused on Vinted Pay which is a greenfield project with many analytical engineering challenges and opportunities but as the Payments Intelligence team works on the business unit level you will also have projects related to other topics related to payments. Within the Data Science & Analytics (DSA) function we have three distinct roles. We believe that each role can make a similarly sized 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 the identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.
In this position, youll
Design, build and maintain analytics engineering systems including but not limited to data ingestion, data models, pipelines, reporting automation and data products Work with colleagues and stakeholders in the Payments business unit and across the company to gather requirements and implement solutions for data projects Continuously learn to be a better Analytics Engineer and help your colleagues by upholding high professional standards and sharing your knowledge Have the opportunity to work with your colleagues in the Engineering organization or other DSA colleagues in other business units, to attend and present on knowledge sharing sessions and to participate in company- and function-wide initiatives
About you
Experience as Analytics Engineer, ETL Developer, Data Engineer or similar role Proficient in SQL - able to write SQL code which is easy to understand, simple to troubleshoot and is highly performant Familiarity with another programming language e.g. Python, Java, Scala Experience with analytics engineering tools and services (DBT, BigQuery, Snowflake, Airflow, etc.) Familiar with data modelling, data access and data storage techniques Strong communication & collaboration skills - able to build and maintain multi-functional relationships with various teams across the business as well as translate business needs into technical solutions Excellent written and spoken English Advantage: working experience in cloud environment, for example GCP or AWS Advantage: experience with payment processing or in general anything FinTech The opportunity to benefit from our share options programme 30 days of paid annual leave 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 A daily lunch allowance Frequent team-building events A personal monthly budget for shopping on Vinted A subsidised gym membership with ClassPass or Urban Sports Club A subsidised pension plan provided by Vinted Life and disability insurance provided 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 Weve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. Its up to you and your team to decide on the exact days youll spend working together in person. 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 57,500 - 77,900 gross per year. #J-18808-Ljbffr
In this role you will become a part of the Payments Intelligence team in Vinteds Payments business unit. This team consists of a mix of Analytics Engineers, Decision Scientists and Data Scientists and works together with the product and engineering teams in the business unit as well as other teams across the whole DSA function on cross-domain topics. The Payments business unit consists of two domains: Marketplace Payments and Vinted Pay. Marketplace Payments is responsible for everything that is needed to make it possible to pay for items on Vinted while Vinted Pay is a brand new payment service provider that we are building. Your work will be mainly focused on Vinted Pay which is a greenfield project with many analytical engineering challenges and opportunities but as the Payments Intelligence team works on the business unit level you will also have projects related to other topics related to payments. Within the Data Science & Analytics (DSA) function we have three distinct roles. We believe that each role can make a similarly sized 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 the identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.
In this position, youll
Design, build and maintain analytics engineering systems including but not limited to data ingestion, data models, pipelines, reporting automation and data products Work with colleagues and stakeholders in the Payments business unit and across the company to gather requirements and implement solutions for data projects Continuously learn to be a better Analytics Engineer and help your colleagues by upholding high professional standards and sharing your knowledge Have the opportunity to work with your colleagues in the Engineering organization or other DSA colleagues in other business units, to attend and present on knowledge sharing sessions and to participate in company- and function-wide initiatives
About you
Experience as Analytics Engineer, ETL Developer, Data Engineer or similar role Proficient in SQL - able to write SQL code which is easy to understand, simple to troubleshoot and is highly performant Familiarity with another programming language e.g. Python, Java, Scala Experience with analytics engineering tools and services (DBT, BigQuery, Snowflake, Airflow, etc.) Familiar with data modelling, data access and data storage techniques Strong communication & collaboration skills - able to build and maintain multi-functional relationships with various teams across the business as well as translate business needs into technical solutions Excellent written and spoken English Advantage: working experience in cloud environment, for example GCP or AWS Advantage: experience with payment processing or in general anything FinTech The opportunity to benefit from our share options programme 30 days of paid annual leave 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 A daily lunch allowance Frequent team-building events A personal monthly budget for shopping on Vinted A subsidised gym membership with ClassPass or Urban Sports Club A subsidised pension plan provided by Vinted Life and disability insurance provided 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 Weve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. Its up to you and your team to decide on the exact days youll spend working together in person. 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 57,500 - 77,900 gross per year. #J-18808-Ljbffr