8 days ago
Aarhus, DenmarkSenior
Responsibilities
- Design, implement, deploy, and maintain scalable data products across the full data lifecycle.
- Build scalable data transformations and process structured, semi-structured, and unstructured data for AI workloads.
- Implement automated data quality monitoring, validation, and alerting.
- Promote modern data engineering technologies and automation frameworks.
- Ensure data governance, quality, security, privacy, and compliance across AI-related data products.
- Maintain metadata, lineage, and documentation to improve data discoverability and governance.
- Collaborate with AI Solution Architects, AI Platform Engineers, and AI Engineers on MLOps and AI platform data components.
- Manage and optimize data solutions on Google Cloud Platform for scalability, reliability, performance, and resource efficiency.
- Contribute to data solution architecture and planning, and support end-users under a you-build-it-you-own-it model.
Requirements
- Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.
- 5+ years of industry experience in data engineering.
- Strong experience designing, developing, and maintaining scalable data pipelines and robust data architectures.
- Extensive experience designing and implementing scalable, reliable, and efficient DataOps solutions, preferably with dbt or Dataform.
- Experience developing, deploying, operating, and monitoring production-scale data solutions, preferably on Google Cloud Platform or with Azure or AWS and willingness to work with GCP.
- Ability to work independently on complex technical challenges and collaborate effectively with stakeholders.
- Proactive approach to knowledge sharing, mentoring, and delivering high-quality, scalable, maintainable solutions.
- Comfort with an MVP mindset and rapidly delivering, validating, and iterating on data solutions within an agile team.
Benefits
- Flexible work-from-home policy.
- Employee benefits including staff discounts across the Lars Larsen Group and social events.
- Internal training, courses, and learning opportunities.
- Welcoming culture with a comprehensive onboarding program.
- Dynamic international workplace with opportunities for collaboration and professional development.
Tech Stack
Categories
Data Engineering
About JYSK
JYSK is a global home furnishings retailer selling mattresses, furniture, décor, and garden products through a large chain of stores and webshops serving consumers. Founded in 1979 in Denmark and headquartered in Brabrand, it operates over 3,400 locations across numerous countries through a mix of company-owned and franchise stores. JYSK is privately held as part of the family-owned Lars Larsen Group.