Data Engineer H/F
Data Impact by NielsenIQ

Data Impact by NielsenIQ

Data Engineer H/F

La empresa

Data Impact by NielsenIQ

Data Impact by NielsenIQ

  • Macrodatos, Comercio electrónico
  • Entre 50 y 250 empleados

La oferta

Data Engineer H/F

¡El puesto ya ha sido cubierto!

Who are they?

The phenomenal development of e-commerce has given rise to huge quantities of data and information. Companies have difficulty exploiting this data, not knowing which leverage actions to choose nor how to measure their impact.

This is where Data Impact by NielsenIQ comes in! We collect over 60 billion pieces of data daily which we process and use in innovative monitoring tools destined for the industry professionals.
Our objective: to enable our clients to define the best strategy, take the best decisions and optimise their execution in real-time
Today: Data Impact by NielsenIQ is a leader in e-retail and omnichannel analytics; a rapidly growing start-up with clients in more than 40 countries

  • A young but experienced and dynamic team with a resolutely start-up attitude!
  • A uniquely diverse and international environment with more than 30 nationalities
  • Real career development opportunities
  • A friendly, relaxed atmosphere and a climate of mutual trust promoting autonomy and challenges
Data Impact by NielsenIQ
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Job description

Under the responsibility of the CTO you will join our growing back-end team to :

  • Develop and maintain Data Impact data pipeline
  • Build internal tools to manage billions of daily records
  • Build reusable components and back-end libraries for future use.

Recruitment Process

• Screening call
• Tech test
• Tech interview with the team
• Final interview with CTO and one of the co-founders

Contract : CDI


Preferred experience

  • Bachelor’s or Masters (Bac+3 to Bac+5) in computer engineering or equivalent
  • 3 years as a Data Engineer in an agile, fast-paced environment. A first experience in a big data company would be a plus
  • Very good level of English AND French
  • Proficiency with Python 3 and another scripting language
  • Significant experience with Pytest, Pandas, a SQL or NoSQL technology and writing Dockerfiles
  • A first experience with Scikit, Scipy, MongoDB, MySQL or Google Cloud would be a plus
Data Impact by NielsenIQ

Data Impact by NielsenIQ

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