Data Developer
At a glance
Mid-level Data Engineering role at Ubisoft. Bucharest · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Turn business needs into data warehouse designs and models that support reporting and analytics
- Build and maintain ETL workflows, keeping data delivery dependable, accurate and timely
- Test and validate data, then investigate causes of quality, performance or consistency problems
- Document data models, ETL workflows, reporting models and mappings for technical teams
- Work with stakeholders and technical teams to shape solutions and improve data development practices
What you bring
- Strong background developing data warehouses, including building and troubleshooting ETL workflows and pipelines
- You write efficient SQL and can tune performance, debug code and make it reusable
- Hands-on work with cloud data platforms; Snowflake is preferred, while Databricks is an advantage
- You have used orchestration tools such as Airflow and understand DataOps, including CI/CD, Git and testing
- Advanced spoken and written English for working with international teams
Who this fits
This mid-level, full-time role suits someone who can take ownership of data engineering work and collaborate with business and technical partners. You’ll work onsite in Bucharest.
From the employer
Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!
The HQ IT team is looking for a Data Developer to join our HR & IT Data Domain team. In this role, you will leverage your SQL, Python, and data engineering expertise to design, develop and optimize scalable data warehouse solutions that enable reporting and analytics. You will work across the full data lifecycle, from data integration and modeling to pipeline development and analytics enablement, building robust, well-documented data pipelines, enforcing data quality and governance standards, and continuously improving our data warehouse infrastructure in close collaboration with stakeholders.
What you'll do
- Analyze and understand business requirements, translating them into scalable, efficient data warehouse solutions and data models.
- Design, build, optimize and maintain ETL processes and data pipelines ensuring reliable, accurate and timely data delivery.
- Perform data validation, testing and root cause analysis to identify and resolve data quality, performance and consistency issues.
- Support troubleshooting and incident resolution for data integration and reporting issues.
- Produce and maintain clear technical documentation for data models, ETL processes, reporting semantic models, data mappings and development activities.
- Participate in project meetings, workshops, and solution design discussions, providing technical expertise and recommendations.
- Contribute to the continuous improvement of data architecture, development standards and best practices.
- Collaborate closely with business stakeholders, analysts and technical teams to ensure successful project delivery.
- Communicate technical concepts effectively to both technical and non-technical audiences, ensuring alignment between business needs and technical solutions.
What you'll bring as technical knowledge
- Strong experience in Data Warehouse development, including building, optimizing and troubleshooting ETL processes and data pipelines.
- Hands-on experience with cloud-based data platforms, preferably Snowflake; exposure to Databricks is considered a strong advantage.
- Strong SQL proficiency, with the ability to write efficient, maintainable and reusable code (including performance tuning and debugging).
- Experience building, optimizing, and troubleshooting data pipelines for reporting and analytics.
- Practical experience with workflow orchestration tools such as Apache Airflow (DAG design, scheduling, dependency monitoring).
- Knowledge of DataOps practices, including CI/CD, version control (Git), testing, monitoring, and release management.
- Experience with reporting and analytics tools such as Power BI, Tableau or similar, including optimizing models for dashboards.
- Advanced level of English (written and spoken), for collaboration with international teams.
What you'll bring as soft skills
- Autonomous and innovative
- Problem-solving skills
- Result oriented: respects the deadlines whilst maintaining a high-quality service
- Adaptability – being able to cope with change, be it on the technological landscape or organizational wise
What do we offer benefits wise?
- Meal tickets with value of 30 ron/day
- Access to private medical system and special subscription rates for family members
- On site medical support
- World Class subscription
- Comprehensive wellbeing program (including physical fitness, mental health, financial education and internal communities)
- Life insurance
- Ubisoft bikes, free rental
- Parking spaces for cars, bikes, motorbikes
- Video games and consoles to borrow
- Access to Ubisoft games via own Uplay account
- Bookster (borrow books for free, delivered at home or in the office)
- Free fruits and coffee in the office
- Studio offered free days, confirmed on an annual basis for different events
- Study leave
- Christmas/ Easter celebration with a special gift
- Partners’ discounts
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