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

Work Address: 
Vognmagergade 11
Copenhagen K, DK, 1120
Denmark

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

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