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Data Engineer - Snowflake/Dataiku
EPAM Systems
Remote · DenmarkSalary not disclosedfull-timeEPAM Systems Careers (remote abroad)
You will architect and optimize scalable data pipelines, datasets and analytical workflows at EPAM in Copenhagen, Denmark, working in a hybrid model. Initially at one of our Clients in the Advanced Manufacturing / Life Sciences space.
Responsibilities
- Build and maintain scalable data pipelines and analytical workflows using Snowflake and Dataiku
- Write and optimize SQL for data transformation, feature engineering and analytical use cases
- Develop and maintain data models, datasets and views in Snowflake for downstream consumption
- Create, validate and maintain reusable features in Dataiku for machine learning models
- Leverage existing features and datasets to reduce duplication and improve consistency
- Implement automated testing, monitoring and CI/CD for production data pipelines
- Ensure data quality and follow enterprise data governance and security standards
- Troubleshoot data issues across pipelines, including upstream AWS services
- Support data requirements for analytics, reporting and business intelligence
- Collaborate with data science, product and delivery teams to translate business needs into reliable data solutions
Languages
- Work format
- Remote
- Seniority
- Mid
- Posted
- 7 Oct 2026
- Last verified
- In the last 5 days
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