Senior Principal Data Engineer (All Genders) at Zalando

Berlin, Berlin, Germany

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

eCommerceIndustries

Requirements

At least 10 years of experience as an individual contributor data engineer, with demonstrated impact on a senior principal level (at Zalando, this is 2 steps beyond senior level on the individual contributor track)
Clear, audience-sensitive style to verbal and written communication
Extensive experience with at least 2 of the following technologies: AWS, GCP, Spark, and/or Databricks
Proactive, initiating process and technical improvements on your own, winning advocates along the way, with a high sense of ownership of the features built and supported by the team
Ability to assess the severity/impact of bugs quickly to help set priority on the team
Deliver or influence to ensure the quality of operational artifacts (e.g. post-mortems and playbooks) on the team and ensure the right software/engineering design approaches and methodologies are applied
Understand requirements (performance, data, feature ownership) between different systems and can translate this into technical designs, with probing analysis of the trade-offs between different approaches
In-depth understanding of data engineering best practices as well as expertise with the tools needed to debug and diagnose issues
Experience in translating business needs into data-driven solutions
Experience as a data leader to be part of the leadership team and support various cross-group teams to define and drive the data strategy for Science within Zalando

Responsibilities

Spearhead the strategy, design, and implementation of data systems and pipelines that are scalable, repeatable, and secure
Contribute as a team member to testing, QA, documentation of data pipelines and systems
Help manage junior/senior data engineer operations and ensure data compliance and security needs are met in system construction
Design and build high-quality data infrastructure solutions, along with higher-level architectural work
Level up analytics data infrastructure in Digital Insights & Analytics (DIA)
Report directly to the Head of DIA and work very closely with the Engineering Manager as the most senior individual contributor within Engineering Platform
Help embedded product analysts work more efficiently and impactfully through centralized infrastructure, datasets, standards, and processes
Work with exceptional engineers, science, analysts, and product leaders in the Zalando eCommerce Platform Sciences team

Skills

Data Pipelines

Data Infrastructure

Scalable Systems

Data Security

Analytics Infrastructure

QA Testing

Documentation

Data Compliance

Zalando

European online fashion retail marketplace

About Zalando

Zalando operates as a major e-commerce platform in Europe, focusing on fashion and lifestyle products. It allows customers to shop for a wide variety of clothing, shoes, and accessories from both established and emerging brands through its website and mobile app. The platform generates revenue by selling products directly to consumers and earning commissions from third-party sellers who list their items on Zalando. A key feature of Zalando is its commitment to providing a smooth shopping experience, which includes free delivery and returns, a large selection of products, and personalized recommendations. Zalando Plus, a premium membership program, offers additional benefits like faster shipping and exclusive deals. The company distinguishes itself from competitors by investing in technology and logistics to enhance customer satisfaction and streamline operations.

Berlin, GermanyHeadquarters

2008Year Founded

$149.8MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees