Data Engineer : Retail Media (Remote)

About us

Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.

About the Retail Media team

The Retail Media team is building a platform for connecting e-commerce retailers and brands. In a nutshell, retail media is the product that allows a brand to buy a placement within our customer’s search, browse, recommendations, collections, or quizzes results. A comprehensive retail media platform integrates seamlessly with online retailers, offering advanced targeting, bidding, and analytics capabilities. This platform aims to enhance ad visibility, optimize ad placement, and provide robust performance analytics. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things. 

The Retail Media team is new and looking for Senior engineers who will help us build backend services, integrate with data warehouse and other services managing results order, and more.

Challenges you will tackle

• Deliver new reports and tools for merchandizers and analysts from e-commerce companies.
• Improve the existing dashboard experience by building analytics that provide insights to improve KPIs.
• Perform data exploration and research user behavior.
• Implement end-to-end data pipelines to support realtime analytics for important business metrics.
• Take part in product research and development, iterate with prototypes and customer product interviews.

• You're proficient at PySpark and Python (python, databricks, luigi).
• You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).
• You are an excellent communicator with the ability to translate business asks into a technical language and vice versa.
• You are excited to leverage massive amounts of data to drive product innovation & deliver business value.
• You are proficient at SQL (any variant), well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries). Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics.
• You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.
• Stack: python, numpy, pandas, SQL, pyspark, flask, docker, git