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Data Engineer Hybrid Work H/F

Entreprise
Localisation
Valbonne - 06
Hybride
Type de contrat
CDI
Niveau
Rémunération
38,2–57,5 k€/an• Salaire annuelestimation

Salaire du marché

Médiane du marché
47k€
Estimation
43k€fourchette habituelle53k€

Cette offre n'affiche pas de salaire. D'après 442 offres pour ce poste (tous niveaux, France), le marché se situe autour de 47k€ (43k€–53k€).

Salaire du marché pour Data Engineer en France : médiane 47 000 €/an, P25–P75 : 42 500–52 500 €/an, n = 442 offres.

Baromètre TJM et salaires IT

Description du poste

Company Description

Welcome to SMG Swiss Marketplace Group France!🇫🇷

Swiss Marketplace Group is one of Switzerland's leading digital marketplace companies, bringing together trusted platforms across real estate, automotive,general marketplaces, and finance.

In France, our team contributes to these products from Sophia-Antipolis, a renowned technology hub. Combining creativity, technology, and collaboration, we build solutions that simplify everyday life for millions of users.

Guided by our values-Better Together, Aim High, and Act Responsibly-we empower our people to innovate, grow, and make an impact.

Meet the team!🌟

At SMG, our strength lies in our people. Meet some of the team members who you could work with:

  • Elizaveta - Hiring Manager -
  • Laure - Data Director -

Job Description

Your Mission

As a Data Engineer in the Data Team, you will play a crucial role in shaping and contributing to the development of our data lake, analytical stack, machine learning, and data servicescapabilities.

This role allows you to extend and continuously improve the current data infrastructure utilizing the latest tools & technologies to address our growing AI needs while contributing to our overarching goals and mission.

Join our dynamic team, located in sixcountries (Switzerland, Serbia, Vietnam, France, Germany, and India), where creativity thrives.Together, we tackle challenges, celebrate successes, and keep learning and growing.

Specifically, you will work on:

- Sourcing, storing, processing, and analyzing huge sets of data in a reliable, fast, and secure way.

- Defining and building the data pipelines that will enable faster, better, data-informed decision-making within the business.

- Developing, implementing, and deploying services that utilize machine learning models created by Data Scientists, ensuring they are production-ready, reliable, and scalable.

- Investigating, familiarizing, and mastering new datasets quickly.

- Driving change with a positive can-do attitude across complex and ambiguous environments.

Your responsibilities will evolve as we grow.

Exigences du poste

Compétences requises

  • Finance (domaine)
  • Machine Learning
  • Data Lake

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