Data Engineer -

Welcome to IO Interactive, the epitome of creativity and groundbreaking quality in the gaming world. We're crafting mind-bending narratives and experiences for players around the globe, and now we’re ready to welcome a new adventurer: a Data Engineer to join our Brighton Studio.

Your Mission - should you choose to accept it:

As our new Data Engineer, you will join our centralized Business Intelligence team, delivering data solutions, analytics, and insights to our Operations, Commercial, Engine, and Games Development teams.

Your primary focus will be on owning and developing our financial planning and analysis systems, including the data architecture, automatic data sync across systems, reporting solutions, and forecasting models. Alongside this, you will work closely with our Technical Lead Data Engineer on the development and operation of our broader data infrastructure.

What you will do:

• Work with stakeholders to identify critical financial data and reporting needs and translate them into effective solutions.

• Develop and maintain data pipelines and integrations across our financial systems, including Unit4, Prophix, and Visma.

• Develop and maintain core financial reporting tools, including Power BI reports, automated slides generators, and web apps

• Manage and further develop Prophix, our financial planning tool, including maintenance and improvements of the budgeting, salary, short-term and long-term forecasting models, and implementation of tools and automations to facilitate data import and updates, reporting and controlling

• Monthly technical and analytics support to the accounting, financial control, commercial, game management, and executive management teams on importing, updating, and validating actuals and forecasted financial figures in Prophix

• Share responsibility for analytics DevOps with our Technical Lead Data Engineer, including monitoring, troubleshooting, and development of telemetry endpoints, servers, automations, and warehouses

• Contribute to the ongoing migration of our data infrastructure from Azure and Microsoft Fabric into a new system

• Contribute to data-as-a-service initiatives, enabling secure, governed AI connections to our datasets.

As part of a small team, you will also contribute to improving our data infrastructure, engineering practices, and the prioritization of tasks and projects.

Disclaimer: Although working on financial forecasting models is part of the responsibilities, this is not a machine learning position. Advanced predictive models could be of interest in the future, but they are not a priority now.

Who you are:

• An experienced individual with at least 3 years in data engineering, Business Intelligence or financial data solutions.

• Experienced with financial data and processes such as budgeting, forecasting, reporting, and controlling. Experience with Prophix, Unit4, or Visma is an advantage.

• Strong in SQL and data modelling, with hands-on experience developing and operating ETL/ELT pipelines and business system integrations.

• Experienced in automating data processing and extracting data from REST APIs using Python, .NET, or similar technologies.

• Proficient in Power BI or comparable reporting tools. Experience with Azure data products (Data Factory, Synapse, Fabric) and Databricks is particularly valuable; other cloud platforms are also valued.

• Skilled in understanding business needs and translating them into reliable technical solutions, accessible reports and dashboards.

• An independent, proactive problem-solver with strong communication and collaboration skills, who takes ownership of development, troubleshooting and maintenance.

• Flexible and able to work in environments where immediate priorities can change week to week.

• Qualified through a relevant university degree in data science, computer science, information systems, software engineering, finance or a related field, or equivalent practical experience.