Data Engineer

vor 4 Wochen


Berlin, Berlin, Deutschland Zalando Vollzeit

THE ROLE & THE TEAM

In Zalando ZEOS (B2B Logistics), we aim to provide our partners with a profitable fulfillment experience, not only within Zalando but across multiple European marketplaces. We provide a holistic approach to delivering the optimal fulfillment solution to meet our partners' needs by unifying these services under a single umbrella, and we see that Data and Analytics will play a pivotal role in enabling data-driven insights and decision-making for us partners and business stakeholders.

As a (Mid/Senior) Data Engineer at ZEOS, you will work closely with Software Engineers, Applied Scientists, and BI & Data Analysts. You will play a key role in defining the department's data strategy, and helping build the next-generation Data & Analytics platform and Data Science solutions. Above all, your work will change the way our partners experience logistics services.

WHY YOU SHOULD BE INTERESTED...

  • You will be joining a relatively new and growing team of Applied Scientists and Data Engineers spearheading Applied Science, Data Engineering & Analytics within the Connected Network department. We trust your entrepreneurial capabilities
  • Work in a multi-functional setup to identify and support our partner's key needs and use cases and collaborate with engineering and applied science teams to develop our long-term data-oriented solutions for our partners.
  • Share knowledge, promote clean data engineering methodologies and mentor colleagues. You'll be a technical leader in the department when it comes to Data Engineering
  • Design, implement and maintain ETL pipelines feeding downstream applications that will help our partners make informed decisions about their stock, their growth options, and their monetization opportunities.

WE'D LOVE TO MEET YOU IF...

  • You are a true team player who believes in the power of a group rather than individuals
  • You have 4+ years of Data Engineering focused experience
  • You are experienced in distributed data processing using Spark SQL and PySpark (Databricks is a plus)
  • You are proficient with Python with passion for writing clean, modular and maintainable production code
  • You are knowledgeable in SQL, relational or MPP data warehouses, ETL design and development, pipeline orchestration, data modeling, and data quality testing methods
  • You have experience building data solutions on cloud, preferably AWS
  • Excellent verbal and written communication skills with a detail-oriented and self-starter mindset. You value a diverse and fast-paced business environment and therefore balance your passion for big data with pragmatism to drive actions and impact

Nice to have:

  • Airflow
  • Git, CI/CD and DevOps
  • Streaming or near real-time data processing
  • Experience in e-commerce
ZALANDO BENEFITS

Career development

  • We offer peer-to-peer performance reviews twice a year
  • Learn and develop through our extensive Zalando training platform
  • Join regular all-hands, team meetings, Q&A sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
  • Support from an international team of experts; mentoring and professional development opportunities

Wellbeing

  • 2 days paid leave per year for volunteering
  • Minimum of 27 holiday days per calendar year
  • Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
  • Mental wellbeing support from our Employee Assistance Program and professional consultants to help you find health resources

Flexibility

  • Flexible working hours
  • 30 days/year of Work-From-Abroad at your own discretion
  • Balanced work-from-home / work-from-office policy targeting the Zalando-wide 2 office-days per week guidance.
  • Relocation assistance for internationals
  • If you work from an office in your role, a choice of office equipment to be delivered to you, to support you working from home due to COVID-19 safety

Financial

  • Access to the employee shares program
  • 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
  • Discounts from a wide range of external partners

Family

  • Employee parents' forums and employee resource group
  • Supported transition into and out of parental leave, with a buddy and re-onboarding plan
  • 3 fully-paid child sick days per year
  • Free counseling, assistance, and referral service for all matters concerning yourself and your family via the Fürstenberg Institute
INCLUDED BY DESIGN

At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy:

Our employee resource groups:

ABOUT ZALANDO

It's the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 46 million active customers through a team of diverse skill sets, cultural backgrounds, and interests.

Our values:

do.More - our sustainability strategy:

Follow us on Instagram:

Please note that all applications must be completed using the online form - we do not accept applications via email.

#ConnectedNetwork #DataEngineering #DataEngineer #berlin #hotjobs #CustomerFulfillment


Recruiter

Rafael Galiani



Please note that all applications must be completed using the online form - we do not accept applications via email.


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