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JYSK

Scandinavian home furnishings retailer

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAarhus, DenmarkNo salary listed

About the Job

Requirements

  • Hold a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field; the degree type is not specified.
  • Have 5+ years of industry experience in data engineering, including designing, developing, and maintaining scalable data pipelines and robust data architectures.
  • Have extensive experience designing and implementing scalable, reliable, and efficient DataOps solutions; dbt or Dataform experience is preferred.
  • Have experience developing, deploying, operating, and monitoring data solutions in production at scale, preferably on Google Cloud Platform, or equivalent experience with Azure or AWS and willingness to work with Google Cloud Platform.
  • Work independently on complex technical challenges while collaborating with stakeholders to achieve successful outcomes.
  • Embrace an MVP mindset and rapidly deliver, validate, and iterate on data solutions within an agile team.
  • Be proactive, share knowledge, mentor colleagues, and deliver high-quality, scalable, and maintainable solutions.

Responsibilities

  • Design, implement, deploy, and maintain scalable data products throughout the data lifecycle, from ingestion and transformation to analytics, visualization, and dashboarding.
  • Design and implement scalable data transformations that integrate with existing systems and applications.
  • Build data products that process structured, semi-structured, and unstructured data to support diverse AI workloads.
  • Design and implement automated data quality monitoring, validation, and alerting to ensure trusted data products.
  • Promote and drive adoption of modern data engineering technologies and automation frameworks.
  • Help 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 to develop and enhance data components of the MLOps and AI platform.
  • Manage and optimize data solutions on Google Cloud Platform to ensure scalability, reliability, performance, and efficient resource utilization.
  • Work with architects to refine data solution design and contribute to solution planning.
  • Support end-users of AI solutions with a “you build it, you own it” mindset.

Desired Qualifications

  • Experience with dbt or Dataform for DataOps solutions.
  • Production data-solution experience preferably on Google Cloud Platform; equivalent Azure or AWS experience is acceptable with willingness to work with Google Cloud Platform.

About the Company

JYSK

Scandinavian home furnishings retailer

JYSK is a Scandinavian home-furnishings retailer. The company reaches customers through stores and ecommerce while distribution centers and head offices support the retail network. It sells furniture, mattresses, household goods, and seasonal products. The profile is for the JYSK retail organization rather than unrelated businesses with similar initials. Roles span shops, warehousing, logistics, merchandising, digital commerce, and business support. The workforce connects customer-facing service with the inventory, digital, and commercial functions that keep the retail operation running.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Handewitt, Germany
Founded
2010

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