Senior Software Engineer - Lounge Pricing Algorithms (all genders)

Berlin

Zalando

Shop the latest fashion & shoes online | Free delivery* & returns on most of the orders | Over 1,900 Brands – new products every day!

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ABOUT THE TEAM
Department: Lounge by Zalando
Reports to: Julius Monello
Team Size: 7
Recruiter Name: Benan Ababay


THE ROLE AND THE TEAM
Lounge 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.  

INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. 
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. 
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy

Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

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.

WE’D LOVE TO MEET YOU IF

  • You have strong programming skills in Python and are proficient with modern software engineering practices

  • You have hands-on experience with cloud infrastructure, ideally AWS, Databricks and Kubernetes. 

  • You bring proficiency in state-of-the-art software engineering methodologies and are familiar with continuous delivery, automated testing, and code quality tools. Plus is experience working in ML teams and environments.

  • You have solid relational database skills and SQL language. Experience with ETL/ELT tools like dbt, Airflow, data warehouses or data lakes is a big plus

  • Bonus points if you have experience with distributed computing frameworks like Spark and data analysis libraries like Pandas/Polars

  • You are a product-oriented engineer who goes beyond ticket implementation to actively shape product development. We value team members who proactively identify and solve challenges, whether it's improving internal tooling or leading larger architectural improvements to our systems.

OUR OFFER
Zalando 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 program

  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners

  • 2 paid volunteering days a year

  • Hybrid working model with 60% remote per week, actual practice is up to each team to best support their collaboration

  • Work from abroad for up to 30 working days a year

  • 27 days of vacation a year to start

  • Relocation assistance available (subject to prior agreement)

  • Family services, including counseling and support

  • Health and wellbeing options (including Gympass)

  • Mental health support and coaching available

  • Drive your development through our training platform and biannual peer-to-peer review

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us 
Please note that all applications must be completed using the online form - we do not accept applications via email.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow AWS Data analysis Databricks Data pipelines Data quality dbt Econometrics ELT Engineering ETL Kubernetes Machine Learning Pandas Pipelines Python RDBMS Research Spark SQL Testing

Perks/benefits: Career development Fitness / gym Health care Relocation support Salary bonus

Region: Europe
Country: Germany

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