• Location
    • Paris
  • Date Posted
  • 24 Mar 2020
  • Function
  • Data Science
  • Sector
  • Ai/ml, Business Applications, Data

Passionate about energy? Interested in tech? Come work for Kayrros, a fast-growing start-up based in the heart of Paris!

At Kayrros, our team of energy experts and tech wizards are working to uncover new insights on the global energy market.

We employ innovative technologies, like satellite imagery processing and artificial intelligence, to capture and analyse data across the energy sector. Combined with our expert analysis, we give our clients valuable information on global market movements to make better business decisions—whether that’s trading, investing or managing their operations.

By working for Kayrros, you will join a fun, energetic team of 70 people, with diverse professional backgrounds—from data science and petroleum engineering to sales and marketing—and over 15 different nationalities and 10 spoken languages. Our team is headquartered at WeWork in Paris, with offices in New York, Houston, London, and Singapore.

We are currently recruiting for our Paris office, a.

Data Engineer (CDI)

Responsibilities:

Data Engineers play a central role in Kayrros. Working hand in hand with Data Scientists and Energy Analysts they gather and process raw data at scale and work closely with Software Engineers to integrate innovations and algorithms into our production system.

As a data engineer, you will therefore have to:

  • Convert prototype into production level code
  • Architect, build and test industry-grade data pipelines
  • Provide technical support to Data Scientists during exploratory analysis
  • Evaluate performance and optimize all parts of the stack
  • Continuously provide ideas to improve products

Requirements

  • Strong Python 3 Engineer able to write reusable, testable and efficient code and coach others in doing so
  • Passion and proven record building data pipelines with an emphasis on software engineering, software architecture, code quality, best practices
  • Optionally: experience with some components of our current stack: Linux/MacOS, Git, Spark, Docker, Elasticsearch, Pandas, Scikit-learn
  • You are dynamic, curious and eager to learn about the energy industry
  • You can work in a fast-paced environment
  • You can communicate clearly in English, including with non-technical people
  • You are willing to contribute actively and have a real impact to the company success