Data Engineer
Role details
Job location
Tech stack
Job description
This is not just a support role. As a Data Engineer at IO Interactive, you will help shape how we understand our players, our games, and our business. You will turn raw information into meaningful, actionable intelligence that empowers our teams to make smarter decisions, from post-launch game performance to commercial insights to financial forecasting across all of IO Interactive.
This is a role for someone curious, grounded, collaborative, and capable of navigating ambiguity. You enjoy understanding the problem before rushing to the solution, and you can translate complex technical topics into clear, accessible insights for non-technical stakeholders.
If you want your work to directly influence iconic, industry-defining games, while being part of a genuinely warm, international, and fun team, then you are our new companion, and this is the adventure for you.
This position is open in our Malmö, Copenhagen, Brighton, and Barcelona studios. We offer a welcoming and great studio culture with a hybrid setup of 4 days in the studio and 1 optional remote day.
What you will do:
- Take ownership of ongoing and new BI projects, including:
- Finance: financial dashboards, cashflow monitoring, budget allocation dashboards, assignment plan insights, salary review dashboards etc.
- Games: post-release game analytics for Hitman and 007 First Light, game performance dashboards, player behavior insights, hardware usage analytics etc.
- Commercial: commercial insights and reporting across the IO Interactive portfolio.
- Identify, collaborate, and enable data collection requirements across finance, commercial, and game analytics domains.
- Build, maintain, and optimize robust data processing pipelines with consideration for data protection laws, cost, and scalability.
- Implement dashboards and ensure stakeholders are onboarded and empowered to use them effectively.
- Monitor pipeline health, troubleshoot issues, and ensure reliable data availability.
- Contribute to BI team initiatives that enhance tooling, processes, prioritization, and data culture across IOI.
Requirements
- Several years of experience working in Data Engineering, Data Analytics, or Business Intelligence, ideally within the financial or tech industry.
- Experience working with financial and commercial analytics, such as P&L reports, cash flow analysis, revenue monitoring, and multinational financial structures.
- Comfortable working with data warehouses, databases, ETL/ELT pipelines, and dashboarding tools.
- Experience automating data extraction from RESTful APIs. Knowledge of Python or .NET is helpful.
- Practical experience with SQL and data processing techniques.
- A degree in a relevant field such as data science, computer science, information systems, software engineering, statistics, applied mathematics, finance, or a related discipline.
We would love it if you have:
- Experience with Microsoft data stack is a plus: Azure Synapse, Data Factory, Azure SQL, Fabric, Power BI, Blob Storage.
- Experience in Google Cloud, AWS, or equivalent ecosystems is also valued.