13 hours ago

Data Engineer

Karnov Group Denmark

On Site
Full Time
DKK 600,000
Copenhagen, Capital Region of Denmark, Denmark

Job Overview

Job TitleData Engineer
Job TypeFull Time
Offered SalaryDKK 600,000
LocationCopenhagen, Capital Region of Denmark, Denmark

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Job Description

About The Job

If you enjoy hunting down why a number looks wrong, only to discover it was a single missing comma, and you get a kick out of seeing complex data slowly reveal a clear pattern, you’ll feel at home as a Data Engineer at Karnov Group.

About The Team

You will be part of a small data team that produces data solutions for BI reporting and product analysis. The team lives at the intersection of technical and business understanding, with a strong focus on technical work. We are currently two people, and our main stakeholders are the BI and Insight functions.

At Karnov Group, we work on a foundation of trust. That means we offer great flexibility and expect you to take ownership and responsibility together with your team for the work.

The Role

As a Data Engineer you will work on our data platform, which is currently being migrated to Microsoft Fabric. This includes, for example, creating pipelines and semantic models for Power BI.

You Will

  • Design, build and maintain data pipelines in Microsoft Fabric and SQL.
  • Model data for BI reporting and product analytics.
  • Work closely with analysts and product managers to understand data needs.

The Stack

  • Languages: T-SQL, Python, DAX
  • Data Platform: Microsoft Fabric (Lakehouse, Data warehouses, Data Factory, Semantic Models)
  • Analytics & BI: Power BI.

Experience with all of these isn’t required; if you’ve worked in similar ecosystems and are keen to learn, we’d like to hear from you. We are currently migrating away from Tableau and a traditional data-warehouse setup, so experience from those setups is also valuable.

Must Have

  • Minimum 5 years of experience from a similar position
  • Strong SQL and problem-solving skills
  • Experience working in a data-focused role, e.g. data engineer or BI developer
  • A growth mindset anchored in collaboration & communication

Nice to Have

  • Experience with Power BI
  • Experience with Python

About Karnov Group

Karnov Group is a leading provider of critical legal, tax, and compliance information across Denmark, Sweden, Norway, France, Spain, and Portugal. We’re in the midst of an an exciting transformation — evolving from a traditional publisher into a modern technology company.

We operate with trust and transparency, and psychological safety is a key value in our engineering culture. You’ll work alongside talented colleagues who support each other and share a drive to build the best tools possible for our customers.

We’re located right by Nørreport Station in central Copenhagen. We have a flexible, common-sense driven hybrid remote policy, and we will never ask you to work evenings or weekends.

Apply

Want to know more? Feel free to reach out to Team Lead Lasse Werling Galsgaard, lasse.galsgaard@karnovgroup.com

We’re looking to fill the position as soon as we find the right person and will review applications on a rolling basis. We’re looking forward to hearing from you!

Key skills/competency

  • Data Pipelines
  • Microsoft Fabric
  • SQL
  • Power BI
  • Data Modeling
  • Product Analytics
  • T-SQL
  • Python
  • Data Warehousing
  • Problem-solving

Tags:

Data Engineer
Data pipelines
Data modeling
BI reporting
Product analytics
Problem-solving
Data solutions
Collaboration
Stakeholder management
ETL
Microsoft Fabric
SQL
T-SQL
Python
DAX
Power BI
Lakehouse
Data Factory
Semantic Models
Data Warehouse

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How to Get Hired at Karnov Group Denmark

  • Research Karnov Group's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Data Engineer roles: Highlight extensive experience with data pipelines, Microsoft Fabric, SQL, and Python.
  • Showcase problem-solving skills: Provide specific examples of identifying and resolving data discrepancies in previous data engineering roles.
  • Prepare for technical assessments: Focus on T-SQL, Python scripting, DAX, and data modeling concepts relevant to BI and product analytics.
  • Demonstrate a growth mindset: Be ready to discuss experiences in collaboration, communication, and learning new data platform technologies like Microsoft Fabric.

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