Senior Manager, Data & Analytics

  • Zalando SE
  • Berlin, Germany
  • Apr 01, 2019
Full-time Artificial Intelligence (AI) Business Intelligence (BI) Change Management Data Architecture Data Engineering Data Science Machine Learning Software Development Strategy

Job Description

As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.


Impact.You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance

Vision.You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.

Collaboration.You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.

Growth.You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.

Development.You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.


Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )

Experience.In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.

Technologies.Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.

You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.

Execution.In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.

Education.In holding BS / MS in Computer Science, a Data Science field or a related discipline


Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.

Perks. Competitive salary; great shopping discount on a wide range of products on; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)

Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.

Peers. International, accomplished experts and self-organized, autonomous teams.

Want to join us? Then go ahead and apply!!

Start the conversation. Tell us what the next step in your career could be.


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