Senior Data Engineer: Snowflake + Dataiku | Hybrid Role

Cph Ai Hub; København; Hybrid; DKK 900,000 - 1,400,000; Full time

Job summary

EPAM in Copenhagen, Denmark, seeks a senior Data Engineer to architect and optimize scalable data pipelines and analytics workflows. You will work in a hybrid model with clients in Advanced Manufacturing / Life Sciences, using Snowflake, Dataiku, SQL and Python to enable ML feature engineering and robust data products.

You will collaborate with data science, product and delivery teams, ensure data quality, governance, security, and production readiness across pipelines and downstream BI

Qualifications

• 6-8+ years of data engineering experience at enterprise scale.
• Hands-on experience with Snowflake and Dataiku.
• Strong SQL skills and query optimization.
• Proficiency in Python for data engineering workflows.
• Experience building production data pipelines.
• Solid understanding of data modeling and feature engineering.
• Experience with automated testing, monitoring and CI/CD for data pipelines.
• Familiarity with AWS data services for troubleshooting pipelines.
• Ability to work in governed enterprise environments.
• Strong collaboration across technical and business teams.

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

Data engineering

SQL

Python

Data modeling

Feature engineering

CI/CD for data pipelines

Data governance & security

Tools

Snowflake

Dataiku

AWS Lambda

Amazon S3

AWS Glue

AWS Step Functions

Job description

EPAM in Copenhagen, Denmark, seeks a senior Data Engineer to architect and optimize scalable data pipelines and analytics workflows. You will work in a hybrid model with clients in Advanced Manufacturing / Life Sciences, using Snowflake, Dataiku, SQL and Python to enable ML feature engineering and robust data products.

You will collaborate with data science, product and delivery teams, ensure data quality, governance, security, and production readiness across pipelines and downstream BI