Senior Data Engineer

About the role

JYSK is looking for a Senior Data Engineer to join its AI Engineering team in Aarhus. You will build the data foundations and scalable solutions that power AI initiatives, helping accelerate AI adoption across the organization. The role sits in an agile, high-performing team with significant influence on technology choices, architecture and data engineering best practices.

Key responsibilities

• Design, implement, deploy and maintain scalable data products across the full data lifecycle, from ingestion and transformation to analytics, visualization and dashboarding.
• Build data products that handle structured, semi-structured and unstructured data for diverse AI workloads.
• Implement automated data quality monitoring, validation and alerting.
• Promote modern data engineering technologies and automation frameworks.
• Help ensure data governance, quality, security, privacy and compliance for AI-related data products.
• Maintain metadata, lineage and documentation.
• Work with AI Solution Architects, AI Platform Engineers and AI Engineers to develop the data components of the MLOps and AI platform.
• Manage and optimize data solutions on Google Cloud Platform (GCP).
• Collaborate with architects on solution design and planning, and support end users of AI solutions with a "you build it, you own it" approach.

Required profile

• Degree in Computer Science, Software Engineering, Mathematics, Physics or a related field.
• 5+ years of industry experience in data engineering, with a track record of scalable data pipelines and robust data architectures.
• Experience developing, deploying and monitoring data solutions in production at scale, preferably on GCP (Azure or AWS experience and willingness to work with GCP is acceptable).
• Ability to work independently on complex technical challenges and collaborate with stakeholders.
• Agile mindset, rapid delivery and iteration, and a willingness to mentor colleagues.

Required skills

• DataOps solutions, preferably with dbt or Dataform.
• Google Cloud Platform (GCP); Azure or AWS experience is acceptable.

What we offer

• A flexible work-from-home policy.
• Employee benefits including staff discounts across the Lars Larsen Group and social events.
• Internal training, courses and learning opportunities.
• A comprehensive onboarding programme and a supportive, collaborative culture.