Visionary Engineering Leader Wanted

2 weeks ago

Copenhagen, Copenhagen, Denmark Pandora AS Full time

The Director, Engineering will lead our data engineering teams in shaping the future of our global data and analytics organization. This role involves developing and executing a data engineering strategy that aligns with the organization's long-term vision and goals.

You will partner with senior leaders in Data, Technology, and Business to define and deliver data infrastructure, architecture, and visualization solutions that drive business impact. Your key responsibilities will include:

  • Lead, mentor, and grow a high-performing team of data engineers, domain architects, and data visualization specialists.
  • Develop and execute a data engineering strategy that aligns with the organization's long-term vision and goals.
  • Partner with senior leaders in Data, Technology, and Business to define and deliver data infrastructure, architecture, and visualization solutions that drive business impact.
  • Create a collaborative and innovative engineering culture focused on data excellence, continuous improvement, and agile methodologies.
Data Engineering & Architecture

In this role, you will oversee the design and implementation of scalable and efficient data pipelines, ensuring high-quality, reliable data processing at a global scale. You will also contribute to the development and optimization of data architecture, ensuring it is robust, flexible, and adaptable to business needs.

Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent work experience).
  • Experience in data engineering, data architecture, and data visualization with experience from a leadership capacity.
  • Proven experience managing large-scale data engineering teams and global data initiatives in an enterprise or retail environment.
  • Strong expertise in modern data engineering technologies (e.g., cloud platforms, ETL/ELT tools, big data frameworks, data lakes, data warehousing).
  • Expertise in data architecture best practices, including design principles, scalability, and performance optimization.
  • Deep understanding of data visualization tools (e.g., Tableau, Power BI, Looker) and experience designing data visualization solutions for complex business requirements.
  • Strong leadership skills with a proven track record of building high-performing teams, driving innovation, and influencing at all levels of an organization.
  • Excellent communication skills with the ability to simplify complex technical concepts for non-technical stakeholders.
  • Ability to drive results in a fast-paced, global organization and manage multiple priorities effectively.

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