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Senior Data Engineer with Snowflake

N-iXCały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano15 października 2026
Wykryte przez nas
Wykryte przez nas16 października 2026
Zarobki
Zarobki5002 - 6252 CHF

N-iX is looking for a Senior Data Engineer to join an ambitious project focused on building and scaling a global Media Data Foundation. You will play a key role in transforming raw marketing and media data into reliable, harmonized data products that drive strategic decision-making for a leading global organization.

Key responsibilities

  • Build, maintain, and optimize complex data pipelines for the ingestion and transformation of diverse media and advertising data sources.
  • Design and implement efficient, scalable data models within Snowflake to support cross-platform reporting and analytics.
  • Lead the migration and development of transformation logic using dbt, ensuring robust orchestration, testing, and CI/CD practices.
  • Collaborate with solution architects and product owners to align technical implementations with business requirements and marketing goals.
  • Implement comprehensive data quality frameworks, monitoring systems, and security protocols to ensure compliance with global data privacy standards.

Requirements

  • Over 4 years of professional experience in data engineering with a strong focus on technical execution and critical thinking.
  • Advanced proficiency in Snowflake, data modeling, Python, and dbt.
  • Deep understanding of security and governance within Snowflake, including RBAC, masking, and row access policies.
  • Proven experience working with marketing and advertising data, including ad platform APIs and web analytics.
  • Familiarity with cloud platforms such as Azure or GCP and experience with ETL/ELT integration tools.

What we offer

  • Opportunity to work on a high-impact global platform using modern data engineering technologies.
  • Collaborative environment working alongside skilled architects and cross-functional teams.
  • Professional growth through complex technical challenges and exposure to large-scale data ecosystems.

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