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D ONE

Data-driven value creation consultancy for enterprises

Senior Data & AI Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • A university degree in Computer Science or a related field.
  • At least 5 years of working experience in related roles.
  • Solid hands-on experience with modern data engineering tools and platforms, such as Azure Data Factory, Databricks, Synapse, dbt, or Palantir Foundry.
  • Proficiency in SQL, Python, and Spark.
  • A strong understanding of data modeling and data warehousing principles.
  • Excellent communication skills in English.

Responsibilities

  • Advise clients during the conception, planning, and implementation of data and AI solutions.
  • Analyze requirements and design tailored data solutions.
  • Contribute to project areas that may include cloud engineering, infrastructure, data engineering, data science, and generative AI applications.
  • Present results and insights to stakeholders and management.
  • Occasionally travel to Switzerland and internationally to meet clients and collaborate with the team at headquarters in Zurich.
  • Strive to understand clients' needs.
  • Deliver outstanding results with high business value in a comprehensible form.

About the Company

D ONE

Data-driven value creation consultancy for enterprises

1) What the company does: D ONE is a consultancy that helps organizations create value from data by guiding corporate transformation toward an information-driven enterprise. Teams are composed of hands-on business practitioners who combine practical experience with strong academic credentials. 2) How the product works: They provide advisory services that assess a client’s data maturity, design a data-driven transformation, and guide implementation with concrete, easy-to-follow steps that translate data capabilities into business outcomes. 3) How it differs from competitors: D ONE emphasizes a practical, easy-to-do-business-with approach anchored by experienced business practitioners and solid academic insight, aiming to deliver real value rather than simply offering technology or theoretical frameworks. 4) The goal: to enable clients to realize measurable business value from data by becoming an information-driven organization through focused, doable transformation efforts.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Zurich, Switzerland
Founded
2005

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