Data Engineer [The Division 2]
Ubisoft · Bucharest, Bucharest, ro ·
- Employment
- Internship
- Category
- Data engineering
Ubisoft · Bucharest, Bucharest, ro ·
ATS Client · Cape Town, South Africa
Nityo Infotech Inc. · Philippines
Build and optimize ETL pipelines, deploy data products, and ensure data quality for Ubisoft's game services using SQL, Python, Airflow, Azure, Snowflake, and Databricks.
The Player Domain sits at the heart of our data infrastructure, tackling the complex challenges generated by player-facing services at scale. We are looking for a Data Engineer to join the team and help us build robust, reliable data foundations that power smarter decisions across the studio.
You will work closely with both technical and business stakeholders, bringing a strong engineering mindset and a collaborative spirit to everything you do.
What You'll Do
Design, build, and optimize ETL/ELT data pipelines by ingesting and transforming data from multiple sources, systems, and formats.
Deploy data products into production environments, applying best practices for monitoring, integration testing, and release management.
Guarantee data quality and maintain clear, comprehensive documentation across all data products.
Provide technical support and expertise to both technical and business teams, acting as a reliable point of contact for data-related challenges.
Collaborate with business and IT teams to define use cases, refine requirements, and design scalable data pipeline solutions.
Contribute to code reviews, testing, and the continuous improvement of internal tools and processes.
Propose new ideas and innovative approaches to drive the evolution of our data engineering practices.
What You'll Bring
Experience & Knowledge
Solid hands-on experience as a Data Engineer, with a strong focus on data integration, modeling, optimization, and quality management within an Agile environment.
A good understanding of game-specific elements (PvP, PvE, co-op) and monetization mechanisms (season pass, vanity items, soft currency, etc.) is a plus.
Technical Skills
Proficiency in SQL and Python
Experience with ETL/ELT orchestration tools such as Airflow or equivalent
Knowledge of Power BI
Hands-on experience with Azure, Snowflake, and Databricks
Familiarity with Data Observability practices and tools
Version control with Git
Interpersonal Skills
Clear, effective communication with both technical and non-technical stakeholders, tailored to the audience.
Collaborative mindset with a strong sense of service and ownership.
Autonomous, adaptable, and proactive — comfortable driving work forward and seeking support when needed.
What do we offer benefits wise?