Data Engineer
We usually respond within three days
Job description:
You will be involved in one of the biggest data transformation journeys. As a data engineer, you will be working with building of data products in the context of Data Mesh concept based on defined target vision and requirements. We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.
Responsibilities:
Design and develop robust SSAS cubes (tabular or multidimensional) to support advanced analytics and reporting.
Optimize and maintain SQL-based ETL pipelines and data models.
Collaborate with analysts and business stakeholders to translate requirements into scalable data solutions.
Ensure high data quality, performance, and governance.
Migrate or integrate existing on-prem data solutions into GCP.
Qualifications:
Proven experience with SSAS and OLAP cube development.
Strong SQL skills (e.g., T-SQL, BigQuery SQL).
Experience with data modeling and performance tuning.
Strong problem-solving skills and a collaborative mindset.
Hands-on experience with Google Cloud Platform (especially BigQuery, Dataflow, Cloud Storage).
Familiarity with CI/CD in a data engineering context.
Experience with Power BI or other reporting tools.
Exposure to dbt, Airflow, or other orchestration tools.
Also we'd like you to:
Have a collaborative and co-creative mindset with excellent communication skills
Motivated to work in an environment that allows you to work and take decisions independently
Experience in working with data visualization tools
Fluent in English both written and verbal
Advantage if you also have Business understanding of retail industry
Required cloud certification: GCP
- Department
- Engineering
- Locations
- Stockholm
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