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Rovio Entertainment

Data Engineering Intern

Posted 2 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Metropolitan Area Apt, ON
Internship
Remote or Hybrid
Hiring Remotely in Metropolitan Area Apt, ON
Internship
Six-month paid internship supporting data engineering for Rovio's mobile games: build and maintain batch and real-time pipelines, manage data lake/warehouse, handle backfills and quality monitoring, collaborate on AI foundational data work and cross-team projects.
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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.

We’re looking for a curious Data Engineering Intern to join our Helsinki-based team. In this role, you’ll join our Data Engineering craft to help us bridge the gap between software engineering and the fast-moving world of mobile gaming data. You’ll work closely with an experienced and a supportive team of experts to maintain the pipelines and services that power our games.

Whether it's supporting AI initiatives or helping us refine our player experience through data, you'll play a part in how millions of people interact with our games.

This is a paid 6-month internship, with a preferred start in April 2026. Please note that relocation or visa support is not provided for internship roles. We follow a hybrid work model, so you’ll spend about 2 days a week collaborating with the team at our Espoo office.

You will have impact and fun at work by:

  • Building high-volume pipelines that handle both batch and real-time dataMaintaining our modern data stack, including our data lake and warehousing platforms, to ensure our analytics tools are top-notch
  • Tackling operational tasks like data backfills, ensuring our data quality monitoring is always on point
  • Collaborating across teams on development projects that directly support decision-making and enhance the player experience
  • Exploring the future of AI by assisting with foundational data work for context management and AI agents
  • Sharing your progress and ideas actively with the team, helping us maintain a short feedback cycle and a culture of continuous learning.

Experience and skills we are looking for:

  • You’re currently pursuing a BSc or MSc in Software Engineering, Computer Science, Machine Learning, or a related field
  • You have hands-on experience with Python and feel comfortable using it to solve technical problems
  • You’re enthusiastic about using AI tools (like Claude Code) to boost your productivity
  • You understand the basics of data wrangling with SQL and are eager to apply it to complex, global-scale data volumes
  • You enjoy working together with others, sharing your work openly, and seeking advice
  • Excellent English communication skills.

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

  • Familiarity with Python data processing libraries and ETL tools like PySpark
  • Experience writing analytical SQL queries to find insights in large datasets
  • Exposure to cloud providers (like AWS) and data technologies (for example Athena, Glue, EMR, orchestration tools).

If you're excited about this opportunity, please submit your application (in English) through our job portal no later than 15 March, 2026. We're reviewing applications as they come in, so don't wait—apply now and take the first step toward joining our team at Rovio! We look forward to speaking to you!

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 [email protected].

What to expect when you join us
Meet the Rovians
Hiring process at Rovio
Diversity, Equity and Inclusion at Rovio

Top Skills

Python,Sql,Pyspark,Aws,Athena,Glue,Emr,Orchestration Tools,Claude Code,Data Lake,Data Warehouse

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