N-iX is looking for a Middle Data Engineer to join an ambitious project focused on building and scaling a global Media Data Foundation. You will be responsible for transforming raw marketing and media data into reliable, harmonized data products that drive strategic investment decisions for a leading European organization.
Key responsibilities
- Build, maintain, and optimize complex data pipelines for ingestion and transformation of media data from various advertising platforms.
- Design and maintain efficient, harmonized data models within Snowflake to support cross-platform reporting.
- Lead the migration of transformation logic to dbt, ensuring robust orchestration, testing, and CI/CD practices.
- Implement comprehensive frameworks to monitor data quality, freshness, and pipeline performance with automated alerting.
- Ensure strict adherence to data privacy regulations and security best practices, including access controls and secret management.
Requirements
- At least 2 years of professional experience in data engineering with a strong focus on technical expertise.
- Proficiency in Python, SQL, and hands-on experience with dbt and Snowflake.
- Deep understanding of marketing and advertising data, including ad platform APIs and campaign hierarchies.
- Experience with cloud platforms, preferably Azure, and familiarity with ETL/ELT tools and batch orchestration.
- Strong knowledge of data security and governance, including RBAC, masking, and row access policies.
What we offer
- Opportunity to work on a high-impact global data platform with modern technology stacks.
- Collaboration with skilled architects and cross-functional teams in a professional, international environment.
- Support for professional growth and the ability to influence technical architecture and solution patterns.