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Data Engineer (m/f/x)
  • Python
  • Spark
  • SQL
  • Java
  • Big Data
  • Hadoop
  • Scala
  • Kafka
  • Azure
Wayfair
Berlin
130 days ago

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 14 million items across home furnishings, decor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.

We are looking for an experienced data engineer to join the partner home organization, Wayfair’s supplier facing user experience and support Wayfair and our many suppliers globally to reach their growth ambitions.

What You’ll Do:

  • Guide the strategic & tactical development and maintenance of the data architecture for Wayfair’s supplier facing user experiences.
  • Clarify ownership of many already existing, siloed data sources and pipelines feeding the supplier’s user experiences and establish common, shared abstractions layers and data catalogs.
  • Innovate and implement scalable data-pipelines and big data architecture on cloud services, both on event and data warehouse level.
  • Mentor data engineers, developers, and data scientists about data engineering culture and best practices.
  • Be part of Wayfair’s data standardization initiatives.
  • Offer new/better alternative solutions based on data engineering best practices to data governance, data quality, data operations & service levels.

What You’ll Need:

  • Master’s Degree (or equivalent) in Computer Sciences, Engineering or equivalent
  • Extensive experience in a data engineering role, working closely with data analysts, software and infrastructure engineers
  • Proven ability to develop REST or GraphQL APIs
  • Strong professional experience with SQL and data management
  • Professional experience with big data technologies: Spark, Kafka, Hadoop, etc.
  • Professional experience with at least one of the following programming languages: Python, Scala or Java
  • Experience deploying and managing infrastructure within a public cloud provider like AWS, Microsoft Azure or Google cloud
  • Knowledge of scalable query systems like Presto, Athena, Impala or Hive
  • Fluent English skills, German is a plus

What we’d love to see (otherwise you’ll learn it here)

  • Strong skills in business to technical translation and vice versa
  • Previous experience in bringing data science project into production
  • Previous experience with building data pipelines for self-service BI-tools
  • Previous dev-ops experience

About Us

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information

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