Data Engineer II
The Adelphi, London, GB
Applications have closed
Location:
London, GBCondé 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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Business Intelligence CI/CD Computer Science Databricks Data pipelines dbt Engineering GCP Git GitHub Machine Learning ML models Pipelines PySpark Python Scala Spark SQL Streaming Unstructured data
Perks/benefits: Career development Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Engineer II jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs