Data Engineer | Hybrid work

SMG swiss marketplace group (ex Ricardo)

Valbonne

Hybride

EUR 65 000 - 100 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Learning Boost
Growth Opportunities
Global Team
Flexible Work
Annual Parties
Fresh fruit
Coffee
MacBook Pro
Swiss Visits
Extra Time Off
Mobility Allowance

Résumé du poste

SMG Swiss Marketplace Group France seeks a Data Engineer to shape our data lake, analytics stack, and AI-driven data services. You will work on scalable data infrastructure across our six-country footprint from Sophia-Antipolis.

Join a diverse, global team with learning budgets, flexible hybrid work, and regular Swiss office visits. You’ll collaborate with Data Scientists and Engineers to deliver production-ready pipelines and ML-enabled solutions.

Qualifications

  • 5+ years of delivering production code
  • 3+ years handling large data volumes
  • Strong Python programming skills
  • Strong SQL and data modeling abilities
  • Experience integrating data from multiple sources
  • Able to collaborate across teams and navigate ambiguity
  • Fluent in English (French or German a plus)

Responsabilités

  • Sourcing, storing, processing, and analyzing huge sets of data in a reliable, fast, and secure way.
  • Defining and building data pipelines enabling faster, data-informed decisions.
  • Developing, deploying ML-enabled data services with Data Scientists, production-ready and scalable.
  • Investigating and mastering new data sets quickly.
  • Driving change with a can-do attitude across complex environments.

Connaissances

Python
SQL
Data Modeling
Data Integration
Cross-Functional Collaboration
English Fluency

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 - LinkedIn
  • Laure - Data Director - LinkedIn
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 services capabilities.

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 data sets quickly.
  • Driving change with a positive can-do attitude across complex and ambiguous environments.

Your responsibilities will evolve as we grow.

What will you bring to the ride?

  • 5+ years of experience delivering code in a production environment.
  • 3+ years of experience working with large volumes of data.
  • Strong programming skills in Python.
  • Strong SQL and data modeling skills.
  • Strong experience with programmatic integration of data from multiple data sources.
  • Ability to work well across different teams and navigate ambiguity with a positive can-do attitude.
  • Fluency in English (both written and verbal); knowledge of French or German is a plus.
  • Capable of investigating, familiarizing, and mastering new data sets quickly.

We value the skills you bring and your ability to learn quickly, so don’t worry if your career path has been unique.

Additional Information
  • Learning Boost: Training and conference budgets to sharpen your skills.
  • Growth Opportunities: Advance professionally and unleash your creativity.
  • Global Team: Collaborate with diverse talent worldwide.
  • Flexible Work: Up to 3 home office days weekly for ultimate comfort.
  • Celebrations: Unforgettable annual parties.
  • Office Perks: Fresh fruit, coffee, and top-notch gear like a MacBook Pro.
  • Swiss Visits: Regular trips to our scenic Swiss offices.
  • Extra Time Off: 12 recovery days plus 25 holidays for well-deserved rest.
  • Sustainable Commuting: Mobility allowance for employees who regularly use sustainable ways to commute.
Recruitment Process

We believe hiring is a two-way street, where both parties get to know each other. Here’s what you can expect:

  • Initial Screening Call
  • Meeting with the Hiring Manager
  • Technical Assessment
  • Team Fit & HR Meeting

We value individuality and the unique contributions of every team member. No matter your background or experience, we encourage you to apply—even if you don’t check every box. Together, we embrace growth, celebrate differences, and create lasting impact.

SMG Swiss Marketplace Group primarily engages with candidates directly. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless we have specifically requested their assistance for particular roles. Any submissions made without a prior request from our Talent Acquisition team will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy.

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