A leading consulting firm in Denmark is seeking a Data Engineer to design and build scalable ETL pipelines. The ideal candidate will have a master’s degree and at least 3 years of experience working with Databricks and the Azure ecosystem. Responsibilities include translating complex data challenges into business solutions, developing data architectures, and ensuring best practices through CI/CD and DevOps methodologies. This position offers diverse growth opportunities in a supportive environment.
Qualifications
Minimum 3 years of experience as a data engineer or similar role.
Proficiency in Databricks and the Azure Data ecosystem.
Hands-on experience with Python and SQL.
Responsibilities
Design and build scalable ETL pipelines for data transformation.
Translate technical data concepts into business value.
Develop data models for querying and reporting.
Skills
Data engineering
Python
SQL
Databricks
Azure Data & AI
DevOps
MLOps
Education
Master’s degree
Tools
Databricks
Azure Fabric
ADF
dbt
Airflow
Job description
A leading consulting firm in Denmark is seeking a Data Engineer to design and build scalable ETL pipelines. The ideal candidate will have a master’s degree and at least 3 years of experience working with Databricks and the Azure ecosystem. Responsibilities include translating complex data challenges into business solutions, developing data architectures, and ensuring best practices through CI/CD and DevOps methodologies. This position offers diverse growth opportunities in a supportive environment.