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Million Victories (logo)
Million Victories
34 rue Verlet Hanus
69003 Lyon
France

Postée le : 07.07.2025
Référence : AFJV-EDAT1515-28301

Million Victories

At Million Victories, we aim to bring the powerful emotions of Massively Multiplayer Online (MMO) games to millions of players : the thrill of epic battles, the pride of shared progress, the strength of a united community !

To achieve this, we are redefining the genre : we create unique, innovative, and accessible MMO games for mobile.

Since the launch of our first game, Million Lords, a real-time strategy MMO, we've seen steady and solid growth. Backed by the successful completion of a nearly $40 million funding round, including both primary and secondary investments, and supported by a team of 35 professionals, we are accelerating our growth to take our game to the next level.
- Our values : ambition, originality, respect.
- Our culture : we believe it's possible to pursue excellence within a culture of kindness.

At Million Victories, performance grows from trust, autonomy, and the richness of diverse backgrounds and perspectives.

Working at Million Victories means :
- Having your initiatives recognized and valued
- Enjoying real autonomy in how you organize your work
- Joining a welcoming, supportive, and committed team

Curious to see more ? Take a peek behind the scenes on our Instagram !

Senior Data Engineer W/M/D


1 candidat • CDI Lyon (69)

Description du poste

We're looking for a Senior Data Engineer to join our growing Business Intelligence team. You'll play a critical role in designing, building, and maintaining the infrastructure that powers our analytics and data-driven decision-making. You'll work closely with data analysts, game developers, game designers, and marketing managers to ensure that our data ecosystem is reliable, scalable, and insightful.

You will :
  • Design and maintain data pipelines using tools like dbt and BigQuery to transform raw data into clean, trusted datasets
  • Integrate data from multiple sources (Analytics tools, MMPs, Stores, Networks, etc.) into our data warehouse
  • Monitor data pipeline performance and implement logging, alerting, and automated testing
  • Collaborate with analysts and stakeholders to build data models and views for dashboards in Looker Studio or similar dashboarding software
  • Contribute to and maintain data dictionaries and documentation
  • Potentially conduct analyses and investigations

Profil recherché

You have :
  • 5+ years of experience in data engineering or analytics engineering roles
  • Strong SQL skills and experience working with BigQuery or similar cloud data warehouses
  • Hands-on experience with dbt for data transformation and modeling
  • Familiarity with Looker Studio or similar BI tools like Looker, Tableau, or Power BI
  • Solid understanding of ELT / ETL practices, data quality, and data architecture principles
  • Experience working with data from multiple sources (e.g., Unity Analytics, Firebase, AppsFlyer, Xsolla, App Store, Google Play, Meta, AppLovin, etc.)
  • Fluent in English, knowledge of French is a plus

If you're excited by the idea of working cross-functionally and translating between business needs and technical solutions, you're in the right place.

Informations supplémentaires

Contract : Full-time, based in Lyon, Paris, or remotely
Start date : As soon as possible
Median Salary : €50,000 per year

$Perks

Special perks :
  • Hybrid work : 3 days remote per week
  • Flexible working hours with the option of a 4.5-day week
  • Opportunity to become a shareholder of the company

And of course :
  • Lunch card : €8/day, 50% covered by the company
  • Access to sports equipment in the office
  • Training & conferences supported to help you grow
  • Quarterly / Monthly team lunches and a Christmas gift card
  • ...and more !

$Recruitment Process

We care about making this first exchange a meaningful one :
  • 1. Initial phone call with Mélissa, our HR Manager, to understand your background and walk you through the process
  • 2. Interview with William our Lead Data Analyst, to align on expectations and vision
  • 3. Case study to assess your problem-solving and strategic thinking
  • 4. Discussion with Omar, a Data Analyst of the Business Intelligence team
  • 5. Final interview with Charles our CMO

A fournir

CV, lettre de motivation, références

A l'attention de : Responsable du recrutement
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