FAQs
What is the primary role of a Data Engineer in the Returns team?
The Data Engineer in the Returns team is responsible for designing and delivering impactful projects that enhance customer return experiences, working closely with various engineering teams and stakeholders.
What technologies will I be leveraging in this role?
You will leverage technologies such as Java, Kotlin, Python, Spring Boot, AWS, and Kubernetes to build robust services and data pipelines.
What kind of work environment can I expect?
You can expect a collaborative and agile work environment where you will work closely with data analysts, applied scientists, business analysts, product managers, and software engineers.
Are there opportunities for personal development?
Yes, you will have access to a training platform and can drive your development through biannual peer-to-peer reviews.
What benefits does Zalando offer employees?
Zalando offers a range of benefits, including an employee shares program, discounts on fashion products, paid volunteering days, a hybrid working model, vacation days, and health and wellbeing options.
Is experience with specific data processing frameworks required?
Yes, experience building data processing pipelines using distributed data processing frameworks like Apache Spark and pipeline orchestration with tools like Airflow is preferred.
What should I do if I don't meet every single requirement listed?
You are encouraged to apply even if you don't meet every single requirement, as you may still be the right candidate for the role.
Is this role open to all genders?
Yes, this position welcomes applications from people of all gender identities.
Are there any accommodations available during the hiring process?
Yes, you are encouraged to inform the company of any accommodations you may need, so they can best support you throughout the hiring process.
What is the expected communication proficiency for this role?
Good verbal and written English communication skills are required, along with the ability to articulate complex technical topics clearly and concisely.