Data Engineer

Are you a data visionary with a passion for turning raw data into strategic insights? Do you thrive on building robust, scalable data solutions that drive business decisions?

Lindhardt & Ringhof Uddannelse is part of Egmont and is a key EdTech player in the Danish Educational system. We are dedicated to making a difference in the classrooms for the teachers and students, and at the same time foster a rich engineering culture. We focus on professional development, that encourages our employees to continually develop their skills and stay at the forefront of their fields. With a strong focus on innovation and collaboration, we strive to deliver high-quality products that include learning portals, online tests, adaptive training and much more. We are located in the heart of Copenhagen near Kongens Have.

The Role

As Data Engineer you will work in our Data & DevOps team to build and maintain our data platform, developing and implementing data pipelines and analytical models. This role involves collaboration with data analysts to transform complex datasets into insights for business decisions.

Responsibilities

• Design and maintain scalable data architectures within Microsoft Fabric, including Lakehouse, Data Warehouse, and OneLake structures.
• Build and optimize data ingestion pipelines using Data Factory (pipelines, Dataflows Gen2) to integrate data from diverse sources into the OneLake/Lakehouse environment.
• Perform data transformation, cleaning, and enrichment using Spark (PySpark/Scala) and SQL. Develop star schema and dimensional data models within Fabric for Power BI reporting and analytics.
• Develop and maintain Power BI data models, reports, and dashboards in collaboration with our data analysts.
• Implement data quality standards and governance policies within Fabric, ensuring data lineage, documentation, and compliance.
• Monitor, troubleshoot, and optimize the performance of Fabric solutions, managing capacity and resource consumption.
• Collaborate with business units to translate needs into technical solutions and communicate complex data concepts.

Qualifications

• Education: Relevant degree in IT, Computer Science, Engineering, Mathematics, Statistics, or related fields.
• Experience: Documented experience in data engineering, BI development, or similar roles, with direct experience using Microsoft Fabric.
• Skills: Analytical mindset for complex datasets, proactive problem-solving, and ability to work both independently and collaboratively across the entire company.

Technical Toolkit

• Microsoft Fabric: Practical experience with Data Factory (Pipelines, Dataflows Gen2), Synapse Data Engineering (Spark, PySpark/Scala, Notebooks), Synapse Data Warehouse (T-SQL, Stored Procedures, Views), OneLake & Lakehouse (Delta Lake, file management), and Power BI (Data Modeling, DAX, Power Query/M, Reports, Dashboards).
• Programming: Proficient in SQL and experienced with Python/PySpark.
• Data Modeling: Advanced skills in dimensional modeling and Medallion architecture.
• Cloud: Experience with Azure data services (e.g., ADLS Gen2, Azure Synapse Analytics, Azure Data Factory) is beneficial.

What do we have to offer?

• Opportunities for professional growth and career development, through a work environment that supports and encourages continuous learning.
• Collaborative and inclusive work environment.
• Regular team building activities and social events.
• A workplace in the middle of Copenhagen with an amazing canteen at the higher floor with impressive views of the city.
• Part of a passionate team dedicated to improve learning in the Danish educational system

For questions, contact: Head of Development Jonas Nielsen at jon@lruddannelse.dk.

Work Address: Copenhagen, Vognmagergade 11

Please apply before 18/01/2026, We are conducting interviews on an ongoing basis. Please Apply by using the "Apply Now" button.