Condé Nast

Data Engineer I

Job description

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

Job Description


London, GB

The Role

We are seeking a Data Engineer who will build and maintain data pipelines across business areas such as subscriptions, video, clickstream, commerce, social and advertising within Condé Nast. If you are looking for a challenging environment and to work with a world class team of data engineers in a well balanced environment and seasoned company.

The Team

The Global Data Engineering team have a wide range of responsibilities and play a critical role in shaping how Condé Nast enables its business using data. The team is responsible for building data pipelines, data products and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry.

What will you be doing?
  • Design, build and test batch and streaming data pipelines capable of processing large volumes of data
  • Build efficient code to transform raw data into datasets for analysis, reporting and machine learning models
  • Collaborate with other data engineers to implement a shared technical vision
  • Participate in the entire software development lifecycle, from concept to release

Who you are:
  • Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience
  • 1+ years of software development experience designing scalable & automated software systems
  • Experience in processing structured and unstructured data into a form suitable for analysis and reporting
  • Experience building batch or real-time data pipelines
  • Proficiency in Python/PySpark or Scala
  • Proficiency in SQL
  • Experience with data processing frameworks such as Apache Spark (we use Databricks)
  • Experience in cloud-based infrastructures such as AWS or GCP
  • Exposure to orchestration platforms such as Airflow (we use Astronomer)
  • Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team

Where will you be?

We encourage hybrid working but when you are in the office, this role will be primarily based in the wonderful Adelphi building with breathtaking views over the Thames and next to the hustle and bustle of The Strand. This is our London HQ and where members of our global teams sit enabling all of our award-winning content to be created.

What benefits do we offer?
  • Condé Nast Learning Hub where you’ll find you’ll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages
  • 25 days holiday and extra days of annual leave for if you get married, move house or want to volunteer
  • Hybrid working and core hours
  • Competitive pension scheme
  • Bupa Private Healthcare
  • Season ticket loans
  • Cycle to work
  • Employee Assistance programme
  • Bring your dog to work
  • A wide variety of wellness benefits including gym discounts
  • Discounts and Magazine Subscriptions
  • Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

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