ABOUT THE TEAMDepartment: Lounge by ZalandoReports to: Julius MonelloTeam Size: 7Recruiter Name: Benan AbabayTHE ROLE AND THE TEAMLounge by Zalando is an online shopping club for fashion and lifestyle products across Europe. At the core of our high-growth strategy is pricing and assortment optimization. As a shopping club, Lounge's main premise is to offer exclusive deals with limited availability to fashion-conscious customers.As a Senior Software Engineer on the Pricing Algorithms team, you will contribute and shape the development of the core components of the article lifecycle optimization platform, following engineering best practices with a strong focus on operational excellence and high reliability. Developing a world-class pricing algorithm is a great opportunity to directly contribute to a key pillar of Lounge’s future success: Machine learning, econometrics, and operations research drive our efforts to optimise ca. 5 billion EUR in discount investments each year.WHAT WE WOULD LOVE YOU TO DO (AND LOVE DOING)Develop, support, and optimise distributed data pipelines, ensuring high scalability, data integrity, and system reliability. Experience with machine learning or optimization pipelines is a plus.Collaborate with Engineers and Applied Scientists within the team plus Analysts, Product Managers and other stakeholders across Lounge to create positive customer impact together.Design, orchestrate, and optimise interactions across multiple software systems to ensure seamless integration and efficient data flow. Focus on enhancing system speed, reliability, and cost-efficiency to maximise the operational impact of our pricing algorithms and infrastructure.Contribute to the definition of best practices and set up proper tooling to support them, such as continuous integration/delivery, code/data quality, test coverage, etc.REQUIREMENTSStrong programming skills in Python and proficiency with modern software engineering practices.Hands-on experience with cloud infrastructure, ideally AWS, Databricks, and Kubernetes.Proficiency in state-of-the-art software engineering methodologies and familiarity with continuous delivery, automated testing, and code quality tools. Experience working in ML teams and environments is a plus.Solid relational database skills and SQL language. Experience with ETL/ELT tools like dbt, Airflow, data warehouses, or data lakes is a big plus.Experience with distributed computing frameworks like Spark and data analysis libraries like Pandas/Polars is a bonus.Product-oriented mindset, actively shaping product development, and proactively identifying and solving challenges.OUR OFFERZalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.Employee shares program40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners2 paid volunteering days a yearHybrid working model with 60% remote per week, actual practice is up to each team to best support their collaborationWork from abroad for up to 30 working days a year27 days of vacation a year to startRelocation assistance available (subject to prior agreement)Family services, including counseling and supportHealth and wellbeing options (including Gympass)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-peer review #J-18808-Ljbffr