Chief Data Architect

1 week ago


Copenhagen, Copenhagen, Denmark Dampskibsselskabet Norden AS Full time

The ideal candidate will have 5+ years of experience in data integration and data modeling, with a strong background in designing scalable data solutions. You will be responsible for taking ownership of data engineering initiatives that deliver strategic value and business impact on a global scale.

As a Senior Data Engineer at Dampskibsselskabet Norden A/S, you will play a key role in shaping high-impact solutions that leverage data as a strategic asset to deliver competitive advantages in the global shipping market. This includes collaborating with stakeholders to understand and solve business needs through technical solutions.

The team is leveraging a modern tech stack, including Python, Prefect, and Azure. You will become a key contributor to enhancing operational efficiency and decision-making processes across the organization. Your expertise will also be applied to transforming data into actionable insights, developing KPIs, metrics, and features for advanced analytics and machine learning models.

This is an exciting opportunity to work at the heart of our data strategy and contribute to the growth and success of our company. You will be part of a collaborative and inclusive culture that values diversity of thought and background.

The estimated salary for this role is between $120,000 and $180,000 per annum, depending on qualifications and experience. Benefits include a comprehensive compensation package, opportunities for professional growth and development, and a dynamic work environment.

Some of your key responsibilities will include:

  • Integrating diverse datasets: Combine and process internal and external data sources to create meaningful insights.
  • Transforming data into actionable insights: Develop KPIs, metrics, and features for advanced analytics and machine learning models.
  • Collaborating with stakeholders: Engage with non-technical stakeholders to understand and solve business needs through technical solutions.
  • Leading technical projects: Oversee data capture, validation, enrichment, and support activities to ensure high data quality and usability.
  • Lakehouse framework development and management: Creating, maintaining, and optimizing our data Lakehouse environment.
  • Code review and quality assurance: Maintaining and enhancing the quality, reliability, and performance of the data engineering codebase.

You should have a solid understanding of data architecture, technology selection, and implementation, as well as prior experience with the Microsoft SQL BI stack (SSIS, SQL, SSAS). Experience with Azure DevOps and task breakdown is also highly valued. If you are a motivated and results-driven individual with a passion for data engineering, we encourage you to apply for this exciting opportunity.


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