Data Platform Engineer: Build Trusted Data for AI & Analytics

Bang & Olufsen; Kongens Lyngby; On-site; DKK 650,000 - 900,000; Full time

Job summary

Bang & Olufsen in Kongens Lyngby, Denmark is seeking a Data Platform Engineer to help build and enhance the foundation for data-driven decision-making. You will design, develop, and maintain data products enabling reporting, analytics and AI use cases.

Responsibilities include improving the Microsoft Fabric platform, building data pipelines, and promoting advanced analytics while contributing to data governance and processes.

Qualifications

• Up to 2 years of experience in data engineering, business intelligence, or a similar data-focused role.
• Experience with Microsoft Fabric or similar platforms.
• Experience with Python.
• Knowledge of DAX and data modelling.
• Experience with Artificial Intelligence utilization and automation.

Responsibilities

• Continuously improve Bang & Olufsen’s Microsoft Fabric data platform, ensuring it is scalable, secure, reliable.
• Design and operate trusted data pipelines, lakehouse and warehouse solutions that make data available for reporting, advanced analytics and AI.
• Continuously develop the necessary skills in Bang & Olufsen to promote advanced analytics through Microsoft Fabric.
• Strengthen data governance and actively contribute to the development of data processes.

Skills

Microsoft Fabric

Python

DAX

Data modelling

AI utilization

Job description

Bang & Olufsen in Kongens Lyngby, Denmark is seeking a Data Platform Engineer to help build and enhance the foundation for data-driven decision-making. You will design, develop, and maintain data products enabling reporting, analytics and AI use cases.

Responsibilities include improving the Microsoft Fabric platform, building data pipelines, and promoting advanced analytics while contributing to data governance and processes.