Data Engineer - Customer Analytics (All Genders) at Zalando

The Role & The Team

Join our Customer Experience Analytics team at Zalando where we dive deep into the customer journey to uncover hidden elements impacting customer satisfaction. As part of the customer care organization, we have a unique vantage point to quickly detect and address customer issues. We support various teams across the organization to leverage these insights, fostering a continuously improving customer experience.

In this role, you will be vital in enhancing our CX data foundation, a critical asset used to decode and improve the overall customer experience. Your work will not only shape our data landscape but also directly contribute to refining every customer interaction.

Inclusive by Design

We assess candidates based on qualifications, merit, and business needs. We encourage applications from individuals of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. To ensure unbiased evaluation, please omit your picture, age, and marital status from your CV.

We aim to provide you with an exceptional candidate experience. Please inform us of any accommodations you may need so we can best support you throughout the hiring process.

Learn more about our and .

Where Your Expertise is Needed

As a member of the Customer Experience Analytics team, you will delve into the customer journey to unearth hidden opportunities. We empower teams across the organization by providing insights necessary for continuous improvement. Your key responsibilities will include:

• Developing self-service tools to enable stakeholders to access and utilize insights. This involves designing curated datasets, fast-running dashboards, and automated ad-hoc reports.
• ETL Pipeline Design and Construction: Develop robust ETL pipelines to integrate data from diverse sources, ensuring accuracy, timeliness, and consistency.

We'd Love to Meet You If

• Technical Expertise: Proficient in SQL and Python, with experience in building and optimizing data pipelines. Familiarity with Databricks Spark, AWS, and Airflow is essential.
• Problem-Solving and Analytical Skills: Strong analytical abilities to tackle complex data challenges and devise scalable solutions.
• Ownership and Strategic Thinking: Understanding the importance of data quality and its implications, and the ability to balance complexity and practicality.
• Communication and Teamwork: Capable of articulating complex technical concepts to non-technical stakeholders and enjoy working in cross-functional teams.
• Adaptability and Continuous Learning: A passion for continuous learning and staying updated with technology trends.

Our Offer

Discover the benefits Zalando provides:

• 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 at least 60% remote work per week, actual practice varies by team
• Work from abroad for up to 30 working days a year
• 27 days of vacation per year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counselling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching
• Development opportunities through our training platform and biannual peer-to-peer review

Apply now to join Zalando as a Data Engineer in our Customer Analytics team and help us shape a superior customer experience through data-driven insights.