Join Zalando as a Data Engineer
Zalando’s Economics & Experimentation department is seeking a Data Engineer to enhance our Experimentation Platform. This role is pivotal in scaling our platform to meet evolving business needs and supports our mission of establishing a robust experimentation infrastructure.
Key Responsibilities
- Collaborate with engineers, product analysts, and applied scientists to understand data requirements.
- Design and build scalable data pipelines for data analysis, cleaning, transformation, and monitoring.
- Develop efficient and reliable data pipelines at scale.
- Enable accurate metric definitions and aggregations for interpreting experimental results.
- Document workflow designs and configurations to ensure knowledge transfer and best practice sharing.
- Promote a culture of experimentation by supporting data-driven decision-making with high-quality metrics.
What We’re Looking For
- Proficiency in engineering best practices and operational excellence.
- Strong understanding of data modeling and transformation techniques.
- Experience with distributed data processing frameworks like Apache Spark; Databricks experience is a plus.
- Solid programming skills in Python and strong SQL knowledge.
- Hands-on experience with AWS and workflow tools like Airflow; GCP experience is a plus.
- Experience with experimentation platforms or methodologies is a plus.
Our Offer
- Employee shares program.
- 40% off fashion and beauty products sold and shipped by Zalando.
- 2 paid volunteering days a year.
- Hybrid working model with 60% remote work per week.
- Work from abroad for up to 30 working days a year.
- 27 days of vacation to start.
- Relocation assistance available.
- 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.
Inclusive by Design
At Zalando, we are committed to being inclusive by design. We do not discriminate based on gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. We assess candidates based on qualifications and merit.
Join us in fostering a culture of continual innovation and growth, ensuring every product change is rigorously tested and underpinned by accurate, high-quality data.
Benefits Extracted with AI
- Employee shares program
- 40% off fashion and beauty products
- 2 paid volunteering days a year
- Hybrid working model
- Work from abroad for up to 30 days a year
- 27 days of vacation
- Relocation assistance
- Family services
- Health and wellbeing options
- Mental health support
- Training platform and peer-to-peer review
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