Data Architect

2 weeks ago


Copenhagen, Copenhagen, Denmark Refleks Full time
About IDAECO.AI">

IDECO.AI is a pioneering organization that specializes in enabling AI & ML-ready data. Our mission is to empower organizations to leverage their existing investments and build intelligent, scalable, and FAIR (Findable, Accessible, Interoperable, and Reusable) data frameworks.

We bridge the gap between data generation and real-world analytics, accelerating the journey from raw data to actionable insights—without requiring new technology investments. Our successful PoC has proven the value of AI-ready data frameworks, and we're now helping businesses execute on their data strategy.

Role Description">

We are seeking a Data Engineer who excels at the intersection of data, cloud technologies, and AI-driven analytics. This is a full-time, on-site role based in the Copenhagen Metropolitan Area.

As a Data Engineer at IDECO.AI, you will:

  1. Design, build, and optimize data pipelines and data models.
  2. Develop scalable ETL and data processing workflows.
  3. Work with data warehousing and analytics to enable AI/ML-ready data.
  4. Implement DataOps and MLOps best practices for seamless data operations.
  5. Collaborate with AI/ML engineers and data scientists to integrate data solutions.
  6. Advise clients on data architecture, governance, and cloud strategies.

Qualifications & Skills:

  • Strong technical and architectural thinking—ability to design scalable data solutions.
  • Excellent communication & presentation skills—can explain complex ideas to technical & non-technical stakeholders.
  • Programming Language—Python.
  • Experience with Python, AWS/Azure, and cloud-native data processing tools.
  • Expertise in DataOps, MLOps, ETL, and data modeling.
  • Hands-on experience with Dbt, Apache Spark, Databricks or other modern data engineering tools.
  • Understanding of data governance, lineage, and FAIR data principles.
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.


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