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Ellab A/S is building a unified BI platform and seeks a Business Intelligence Engineer to build and maintain BI solutions using Power BI, SQL and Microsoft Fabric. You will own data from source systems to semantic models and reporting, collaborating with Data Engineers and analysts across functions.
You will translate business needs into robust BI solutions, troubleshoot data quality issues, and contribute to best practices in data governance and documentation.
Ellab is on an exciting growth journey, and data is at the heart of our success. We are building a unified, company-wide Business Intelligence platform that will enable better decision-making across our global organization spanning 15 different countries with approximately 800 employees and 980 million DKK in turnover.
We are looking for aBusiness Intelligence Engineer who enjoys building things, solving problems and making data work in the real world.
If you like to get into the details, understand how operational systems work, turn raw data into reliable solutions and take ownership when something doesn't work as expected, this role is for you!
As part of our growing Business Intelligence team, you'll work alongside Data Engineers, BI Engineers and an analyst, owning the data value chain from operational source systems through to semantic models and reporting. You will help move Ellab from fragmented reports and ad hoc data extracts toward a centralized, scalable BI platform - while also making sure that the solutions we build work reliably in day-to-day operations.
This is a hands-on engineering role. You will spend your time building, improving, troubleshooting, and maintaining BI solutions, while working closely with the business to understand the problems behind the data.
You will:
You combine strong technical skills with a hands-on, problem-solving mindset.
You'll ideally have:
It would be an advantage if you also have:
We aim to hire the best fit as soon as possible. Interviews will be conducted on a rolling basis until a mutually suitable match has been identified
Denmark