Data Engineer II

at  Conde Nast

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.
Job Description
Location:
London, GB
Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.
We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe.
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, come join us.
The Team
The Data Solutions 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
• Build efficient code to transform raw data into datasets for analysis, reporting and machine learning models
• Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations
• Collaborate with other data engineers, data scientists and product managers to implement a shared technical vision
• Participate in the entire software development lifecycle, from concept to release
• Contribute to shared data engineering tooling & standards to improve productivity
• Support, monitor and optimize current and future data infrastructure and platform
• Provide technical guidance and mentorship to junior engineers
• Evaluate technologies and conduct proof-of-concepts

Who you are

• Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience
• 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 with data modelling, batch data pipeline design and implementation
• Experience building batch or real-time data pipelines
• Strong software development skills with high proficiency in Python/PySpark or Scala
• High Proficiency in SQL
• Experience with data processing frameworks such as Apache Spark (we use Databricks)
• Experience with data transformation tools such as dbt Cloud
• 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
• Comfortable with CI/CD (we use GitHub Actions) Pipelines
• Experience with Git version control, and other software adjacent tools

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 life events like moving house or wanting to volunteer with a charity
• 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

• Design, build and test batch and streaming data pipelines
• Build efficient code to transform raw data into datasets for analysis, reporting and machine learning models
• Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations
• Collaborate with other data engineers, data scientists and product managers to implement a shared technical vision
• Participate in the entire software development lifecycle, from concept to release
• Contribute to shared data engineering tooling & standards to improve productivity
• Support, monitor and optimize current and future data infrastructure and platform
• Provide technical guidance and mentorship to junior engineers
• Evaluate technologies and conduct proof-of-concept