Senior Data Engineering Specialist (Remote, Denmark)

Job summary

The role involves leading the design and delivery of data products that support critical business intelligence and AI initiatives. The position focuses on building scalable data foundations and ensuring data is trusted and reusable.

Qualifications

• Extensive experience in data engineering or a related field within a complex enterprise environment.
• Strong expertise in modern data stacks, particularly with dbt and Snowflake, along with advanced SQL and solid Python skills.
• Proven ability to design scalable data models and architectures, balancing best practices with practical constraints.

Responsibilities

• Design, build, and manage scalable data pipelines and transformations using dbt, Snowflake, SQL, and Python.
• Develop robust, reusable data models for BI and analytics.
• Promote engineering excellence through best practices in testing, documentation, and observability.
• Shape data product architecture and contribute to design decisions across the data landscape.
• Mentor local data teams and facilitate the adoption of the data platform.
• Collaborate with stakeholders to translate business needs into effective data solutions.
• Continuously seek improvements in efficiency and reliability across teams.

Skills

• Strong collaboration and communication skills.
• Ability to influence technical direction and guide others through mentoring and code reviews.
• Pragmatic mindset for balancing standardization with the need for speed and flexibility.

Education

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

Tools

• Experience with CI/CD, Infrastructure as Code, or cloud platform operations is advantageous.