Staff Analytics Engineer

Copenhagen, Capital Region
Posted 3 days ago
Data Science

About the role

Job summary

This role is a senior individual contributor position within the Data Services & Governance team, focusing on establishing and maintaining analytics standards and a semantic layer that serves as a single source of truth for the organization. The position involves building foundational analytics infrastructure and tooling from the ground up, with a strong emphasis on AI-augmented development practices.

Qualifications

  • Extensive experience with dbt and data modeling practices, including the ability to define and enforce architectural standards across functions.
  • Proficient in BigQuery and SQL, with a strong understanding of performance and cost considerations in complex analytical environments.
  • Proven experience managing a semantic layer, with insights into maintaining metric consistency at scale.
  • Familiarity with AI-native development practices in data engineering, utilizing AI coding tools effectively.
  • Demonstrated ability to set and uphold standards across teams without direct management authority.

Responsibilities

  • Define and maintain the semantic layer, ensuring consistent metric definitions across the organization.
  • Establish data modeling standards for the analytics function, promoting clean and well-tested architecture.
  • Lead the Analytics Engineering community of practice, facilitating code reviews, documentation, and onboarding.
  • Implement AI-native development practices in data modeling and migrations.
  • Collaborate with backend and product engineers to ensure data contract discipline and schema ownership.
  • Contribute to external customer-facing analytics products, enhancing data modeling patterns and capabilities.

Skills

  • Expertise in dbt, BigQuery, SQL, and AI coding tools.
  • Strong analytical and problem-solving skills, with a focus on building scalable solutions.
  • Excellent communication and collaboration abilities, working effectively with cross-functional teams.

Education

  • Relevant degree or equivalent experience in data engineering, analytics, or a related field.

Tools

  • GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot.
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