AI-Driven Data Engineer for Digital Thread & Analytics

Saab Danmark A/S; Sønderborg; On-site; DKK 700,000 - 900,000; Full time

Benefits offered by this job

Lunch scheme

Pension

Flexible work conditions

Wellbeing programs

Job summary

Saab Danmark A/S is seeking a Data Engineer to build the data foundation for modern engineering, connecting engineering data and improving digital workflows. The role prepares data for AI-enabled engineering and supports MBSE initiatives, with responsibilities spanning pipelines, governance, data models, and dashboards.

The successful candidate will collaborate across engineering, IT, and business teams, turning data into business value, while maintaining an ownership mindset and delivering

Qualifications

• Experience in Data Engineering, Software Engineering, Systems Engineering, Data Science, or Computer Science.
• Strong background in Python, SQL, APIs, and knowledge of cloud platforms, Power BI, graph databases, or engineering lifecycle tools.
• Experience with AI technologies is an advantage but not a requirement.

Responsibilities

• Develop data pipelines and system integrations across engineering tools.
• Improve data quality, consistency, governance, and traceability.
• Support Digital Thread and MBSE initiatives.
• Prepare engineering data for AI and advanced analytics.
• Design scalable data models and dashboards.
• Identify opportunities to automate engineering processes.
• Collaborate with engineers, IT, and business stakeholders to deliver practical solutions.

Skills

Python

SQL

APIs

Cloud platforms

Power BI

Graph databases

Lifecycle tools

AI basics

Tools

Engineering tools

Job description

Saab Danmark A/S is seeking a Data Engineer to build the data foundation for modern engineering, connecting engineering data and improving digital workflows. The role prepares data for AI-enabled engineering and supports MBSE initiatives, with responsibilities spanning pipelines, governance, data models, and dashboards.

The successful candidate will collaborate across engineering, IT, and business teams, turning data into business value, while maintaining an ownership mindset and delivering