Data Lead (Remote, Nordics)

Denmark
Posted 2 months, 2 weeks ago
Data Science

About the role

Job summary

The role involves leading the development of a unified data platform across the Nordic countries, focusing on data engineering and analytics to drive decision-making.

Qualifications

  • Proven experience in building production-grade data platforms.
  • Strong skills in SQL, data modeling, ETL/ELT processes, orchestration, CI/CD for data, testing, and performance tuning.
  • Familiarity with technologies such as Snowflake, dbt, AWS SDLF, Erwin, and Power BI.
  • Experience in delivering enterprise-level Power BI datasets and reports, including DAX and row-level security.
  • Understanding of data governance principles, including cataloging, lineage, and quality SLAs.
  • Ability to engage with senior leadership and translate business objectives into actionable data strategies.
  • Strong communication and coaching skills, with a focus on fostering a data-driven culture.
  • Fluency in English and at least one Nordic language is required.

Responsibilities

  • Lead the integration of four existing Nordic data solutions into a single enterprise-grade platform.
  • Design scalable data models and warehouses, and manage ETL/ELT pipelines.
  • Establish data quality standards and governance aligned with global policies.
  • Deliver high-value analytics, including data models and dashboards, while ensuring version control and testing.
  • Collaborate with stakeholders to convert business questions into actionable metrics and KPIs.
  • Coach analysts and business users on data literacy and best practices in Power BI.
  • Work with other regional teams to align on global strategies and accelerate delivery.

Skills

  • Data engineering and analytics expertise.
  • Strong stakeholder management and leadership capabilities.
  • Effective communication and change management skills.

Education

  • Relevant degree in Data Science, Computer Science, or a related field is preferred.

Tools

  • Proficiency in Snowflake, dbt, AWS SDLF, Erwin, and Power BI.
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