Løn for Data Engineer: Microsoft Fabric & Data Platform i Danmark 2026

Hvad tjener en Data Engineer: Microsoft Fabric & Data Platform?

Løn for Data Engineer: Microsoft Fabric & Data Platform i Danmark 2026

Løn for Data Engineer: Microsoft Fabric & Data Platform i Danmark

62.500 € / Årlig
Baseret på 9 jobopslag
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.

Minimum
50.000 € Gennemsnitsløn
62.500 € Maksimum
75.000 €

Løndata opdateret: november 2026

Løn for Data Engineer: Microsoft Fabric & Data Platform i Danmark

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Lønninger i Danmark {year}

Alle stillinger i General
Position Gennemsnitsløn / Årlig
Strategic Executive Search Advisor for Top Leadership 83.333 € Se opslag
Co-Founder & Head of Product — Build a €1B FoodTech Startup 75.000 € Se opslag
Danish Speaking Roles in Greece — Relocation Covered 75.000 € Se opslag
Co-Founder & Head of Sales for a €1B Longevity Startup 75.000 € Se opslag
Dynamics 365 FSCM Finance Specialist — Remote & Flexible 75.000 € Se opslag
Digital Workplace Leader: Microsoft 365 Adoption & Strategy 75.000 € Se opslag
AI Trading Model Specialist — Remote & Flexible 75.000 € Se opslag
AI-Driven Investment Banking Analyst (Remote) 75.000 € Se opslag
Director Analyst: Agentic AI Networking & Enterprise Ops 75.000 € Se opslag
EdTech Co-Founder / Head of Engineering (100 % remote) (m/f/d) 75.000 € Se opslag
Salary comparison

FAQ - Data Engineer: Microsoft Fabric & Data Platform

Gennemsnitsløn og lønoplysninger for Data Engineer: Microsoft Fabric & Data Platform i Danmark

Data om minimumsløn for Data Engineer: Microsoft Fabric & Data Platform i Danmark

Data om maksimal løn for Data Engineer: Microsoft Fabric & Data Platform i Danmark

Data opdateret: november 2026

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Career guide: How to become a Data Engineer: Microsoft Fabric & Data Platform
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Methodology

Salary data is calculated from compensation ranges published in active job listings in Danmark. Job postings that include salary information are analyzed to obtain minimum, average and maximum values by position. Data is updated monthly and reflects listings from the last 90 days. Sample size for this position: 9 job postings with salary.