Marketing Technology Data Engineer

6 days ago


Copenhagen, Copenhagen, Denmark Nuuday Full time
About Nuuday

Nuuday is a united family of six trusted and well-known brands with the shared purpose of making sense with technology.

We deliver innovative digital services to most Danish households and businesses. Our team is responsible for the shared marketing technology stack across Nuuday, orchestrating a number of marketing tools centered around the Adobe Experience Platform.

Our Mission

We're handling data modelling, configuring tools, setting up journeys and email templates etc. to meet the needs of the brands within Nuuday.

We advise our colleagues on MarTech related issues and support implementation and integration of new tools whenever needed.

Job Description
  • The chance to work in a dedicated MarTech team supporting different brands within Nuuday.
  • The chance to work with the Adobe Experience Platform, AJO, CJA and Adobe Campaign etc. as well as the Azure cloud platform.
  • Chance to stay updated with the latest developments in MarTech tools and best practices for data management in MarTech.
  • Fun, challenging and varied work tasks.
  • Plenty of opportunities to grow and refine professional skills, and to shape your own profile within the team.
  • Good environment for sparring and knowledge sharing with other data engineers as well as commercial and marketing specialists.
  • Attractive package of benefits and flexibility to support a healthy and sustainable life.

This role will involve designing and maintaining data models, ensuring seamless data flows, and supporting the technical infrastructure needed for effective marketing operations.

You will be working closely with other departments to integrate data systems and ensure interoperability.

Your Role
  1. Develop and maintain integrations between the Adobe MarTech stack and various internal and external data sources.
  2. Document data models and data flows.
  3. Work closely with other departments to integrate data systems and ensure interoperability.
  4. Maintain and optimize data models in both Customer Data Platform (CDP) and other database systems to support various marketing initiatives as well as commercial insights.
  5. Collaborate with the Data Manager to design, document, implement and enforce data governance policies and procedures.
  6. Implement data validation and cleansing processes to ensure high data quality.
  7. Troubleshoot and resolve data integration and processing issues.
  8. Ensure system reliability and performance by regularly monitoring data pipelines and integration processes.
  9. Work closely with Data Managers, Audience Strategists, Campaign Managers and other stakeholders to understand data requirements and deliver solutions.
  10. Provide technical guidance and support to your MarTech colleagues and marketing and business teams on data-related projects.
  11. Identify opportunities for process improvements and automation to enhance data integration and processing efficiency.


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