Team Lead Data Engineering - Snowflake / AWS

About the Position

Team Lead Data Engineering - Snowflake / AWS

Lead · Hybrid · Copenhagen, Denmark

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. Using Snowflake, Dataiku, SQL, and Python, you enable feature engineering for machine learning and support robust data products for analytics and business intelligence. You collaborate with data science, product, and delivery teams to deliver production-ready solutions with a focus on data quality, performance, and maintainability.

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

Requirements

• 6-8+ years of Data Engineering experience at Enterprise scale
• Hands-on experience with Snowflake and Dataiku
• Strong SQL skills, including query optimization and data transformation
• Proficiency in Python for data engineering workflows
• Experience building and maintaining production data pipelines
• Solid understanding of data modeling and feature engineering for analytics and machine learning
• Experience with automated testing, monitoring, and CI/CD for data pipelines
• Familiarity with AWS data services, such as Lambda, S3, Glue, and Step Functions, for troubleshooting upstream pipelines
• Ability to work effectively within governed enterprise environments
• Strong problem-solving skills and ability to collaborate across technical and business teams

Nice to Have

• Experience in healthcare, life sciences, or customer-support analytics
• Familiarity with feature stores and reusable feature management
• Experience supporting business intelligence and reporting datasets

Core Skills

• Data Integration
• Amazon Web Services
• PySpark
• SQL
• Snowflake
• dbt
• API & Integration Standards
• Apache Airflow

About the Company

EPAM is a global software engineering and product development company with a focus on delivering innovative solutions to clients across various industries. We are committed to fostering a collaborative and inclusive work environment where our employees can thrive and grow.