Zalando Lounge is the fastest growing part of Zalando, now turning over billions of euros each year.

As a Senior Software Engineer at Lounge Scalability, you will join the team based in Berlin to contribute and shape the development of ML and data pipelines, following engineering best practices with a strong focus on operational excellence.

In a close collaboration with applied scientists, product managers and engineers you will build a wide range of ML based products for algorithmic optimizations throughout the assortment lifecycle in Lounge. They are used on a day to day basis in business processes to make major steering decisions that are crucial for further scaling Lounge business.

This position is a unique opportunity to have direct impact, and connect with exceptional talents from many different backgrounds.

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’D LOVE YOU TO DO (AND LOVE DOING)

• Develop and support automated, scalable ML and data pipelines, ensuring they run reliably and are scheduled appropriately.

• Contribute to develop the full ML lifecycle for different kinds of models

• Build analytical and operational dashboards to enable your team and stakeholders to make data driven decisions.

• 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.

• Enabling the experimentation on ML models and optimization algorithms with efficient and scalable tooling

WE’D LOVE TO MEET YOU IF

• You have 3+ years of professional work experience with Data and Machine Learning pipelines and are an ML Ops expert.

• You have strong programming skills in Python

• You are proficient with state-of-the art software engineering practices

• You have hands-on experience with relevant software technologies: Cloud infrastructure (ideally AWS & Kubernetes),relational database(Postgres, MySQL). Experience with ETL, data warehouses or data lakes is a big plus(Airflow, DBT).

• Experience with data analysis tools (e.g. Pandas, numpy, Plotly, Jupyter Notebooks, Databricks) are desirable.

• Interest in algorithms, machine learning, mathematics and experience in designing and developing corresponding optimization software 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

• 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

orjada.bilo@zalando.de

Please note that all applications must be completed using the online form - we do not accept applications via email.