Lead/Principal Data Engineer

Rovio is part of the SEGA family and world famous for our flagship IP Angry Birds - want to know more about Rovio as an employer? Click here.
The Games Technology team encompasses a whole host of data and analytics expertise areas, including machine learning, build and submission tools, and cloud infrastructure. Powered by Beacon, Rovio's in-house cloud services platform, the team supports tens of millions of players, capturing 10+ billion events and over 100TB of data per day. All of this work results in services and tools that enable successful live operations and continuous optimization in Rovio’s games.
We are looking for a Software Engineer to join our Data & ML Engineering team as a Lead/Principal Data Engineer. In this role at Rovio, you will blend software engineering with the fast-evolving data landscape in the mobile gaming industry.
You will build data pipelines, products, and services to support the growth of Rovio’s games, working on everything from productized datasets to ML models to enhance decision-making and player experience. Along with your colleagues in the Data & ML Engineering team you also maintain the data platform at Rovio and help other teams with their daily data needs.
Our Tech Stack:- We are heavy users of Spark and write most of our new code in Python- We also have microservices and streaming analytics with Flink that are both written in Java and some Scala - We query our Data Lake with engines like Athena and Presto- We use a number of AWS services like EMR and SageMaker - We also like Druid, and you can find us contributing to the open source community
Not in Finland? We can provide relocation support.

You will have impact and fun at work by doing:

• Design, build, and optimize high-volume batch and soft real-time data pipelines, ensuring efficiency, scalability, and reliability.
• Develop and maintain data infrastructure, including data lakes, data warehouses, and data management platforms, to support business intelligence and analytics.
• Implement and optimize data processing frameworks to enhance data ingestion, transformation, and storage capabilities.
• Collaborate closely with Analytics, Data Science, and BI teams to understand data requirements, ensure accuracy, and maintain data integrity.
• Apply best practices in data engineering, including ETL design, data governance, security, and performance tuning.
• Evaluate and integrate emerging technologies and tools to improve data pipelines and overall data architecture.
• Monitor and troubleshoot data pipeline issues, ensuring high availability and consistency across platforms.
• Drive continuous improvement by bringing in industry best practices and modern approaches to data engineering within the team.

Experience and skills we are looking for:

• Strong programming skills (Java or Python preferred).
• Proficiency in SQL, especially for analytical queries.
• Experience with AWS (data-related services preferred) or other cloud platforms.
• Experience with ETL tools (Spark preferred).
• Eager to learn and stay at the forefront of industry advancements.
• Willing to share knowledge and contribute to team growth.
• Proactive mindset, not afraid to propose new ideas and solutions.
• Strong time management and self-organization skills.
• Willing to coach and mentor others.

It would be nice if you also have the following skills:

• Knowledge of Scala.
• Familiarity with Kafka and streaming analytics.

We welcome applicants to use the name they want to be addressed by in the application form, regardless of whether it is their legal name.
At Rovio, we are also committed to providing reasonable accommodations for qualified individuals with disabilities or conditions in our working environment and job application procedures. We are committed to continuously improving workplace accessibility. If you have any questions before applying, please write to us at recruitment@rovio.com.
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