Senior Analytics Engineer, Marketing DSA

As an Analytics Engineer in Marketing, you’ll architect, scale, and optimize the business critical marketing data pipelines that teams rely on to optimize marketing performance and decision-making. Specifically, you will design robust, future-proof pipelines that ingest, process, and monitor data from diverse external sources to ensure our teams have access to high-integrity data. In this role, you’ll have the opportunity to build a deep understanding of the marketing domain while proactively identifying data-related process optimization opportunities.

You’ll partner closely with:

• Marketing Operations Intelligence and Marketing Modelling 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, Airflow: 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.

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.

• 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.
• Standardize and scale testing practices across marketing pipelines by implementing automated anomaly detection and regression checks 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.
• Drive adoption and correct usage by writing practical documentation, enabling self-serve analysis.
• Proactively identify and drive opportunities to enhance the impact of Data Science and Analytics at Vinted.

• Hands-on experience in Analytics Engineering or Data Engineering (typically around 5 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  well-tested and performant models. Experience with the rest of our stack is a plus (Google Cloud Platform, Airflow, Python, Looker)
• Proficiency in  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.

Studies show that women and members of underrepresented communities often apply for jobs only if they meet 100% of the qualifications. If you don’t recognise yourself in all of the above, you might still be an excellent candidate for this position. If this role excites you, we encourage you to apply.

• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• 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
• 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

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.