Senior Data Engineer: Snowflake, Dataiku & ML Features

EPAM Systems; Denmark; Hybrid; DKK 900,000 - 1,200,000; Full time

Job summary

EPAM Systems in Copenhagen, Denmark, is seeking a senior Data Engineer to architect and optimize scalable data pipelines and analytical workflows in a hybrid model. You will work with Snowflake, Dataiku, SQL and Python to enable feature engineering for analytics and ML-ready data products.

You will collaborate with data science, product and delivery teams to deliver production-ready solutions with a focus on data quality, performance and maintainability.

Qualifications

• 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.

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.

Skills

SQL

Python

Data modeling

Feature engineering

CI/CD

Data governance

Tools

Snowflake

Dataiku

AWS data services

Job description

EPAM Systems in Copenhagen, Denmark, is seeking a senior Data Engineer to architect and optimize scalable data pipelines and analytical workflows in a hybrid model. You will work with Snowflake, Dataiku, SQL and Python to enable feature engineering for analytics and ML-ready data products.

You will collaborate with data science, product and delivery teams to deliver production-ready solutions with a focus on data quality, performance and maintainability.