Finance Data & Analytics Engineer – AI & Fabric Solutions

Ramboll Group

København

On-site

DKK 750,000 - 900,000

Full time

7 hours ago
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Job summary

Ramboll Group is seeking a Data & Analytics Engineer at our head office in Denmark to shape Finance data solutions and deliver reliable insights. You will work with Microsoft Fabric to create reporting, analytics and visualizations, and contribute to an AI-enabled analytics journey.

You will collaborate across functions, translate business needs into scalable data products, and help strengthen data quality and usability across Ramboll.

Qualifications

  • Degree in data, IT, business analytics, finance, engineering, AI or related field.
  • Solid knowledge of data and analytics concepts.
  • Experience with data visualization or BI tools.
  • Interest in modern data platforms such as Microsoft Fabric.
  • Curiosity about AI and how it strengthens analytics solutions.
  • Structured, analytical approach to problems.
  • Good communication and collaboration skills.

Responsibilities

  • Build data solutions in Microsoft Fabric for Finance use cases.
  • Work with data extraction, transformation, modelling and structuring.
  • Develop dashboards, reports and visualizations.
  • Collaborate with Finance stakeholders to translate needs into technical solutions.
  • Ensure data quality, consistency and usability.
  • Contribute to ongoing development of data and analytics capabilities.
  • Explore how AI can be included in solutions and workflows.

Skills

Data & Analytics
Data visualization
Problem-solving
Collaboration
Curiosity

Education

Relevant degree in data/IT/analytics/finance/engineering/AI

Tools

Microsoft Fabric
Power BI
SQL

Job description

Ramboll Group is seeking a Data & Analytics Engineer at our head office in Denmark to shape Finance data solutions and deliver reliable insights. You will work with Microsoft Fabric to create reporting, analytics and visualizations, and contribute to an AI-enabled analytics journey.

You will collaborate across functions, translate business needs into scalable data products, and help strengthen data quality and usability across Ramboll.

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