Data Engineer (DBT)

TL;DR

Data Engineer (DBT): Design, build, and maintain large-scale data systems focusing on data warehousing, ETL, and data modeling with an accent on Data Vault 2.0 modeling in DBT on Snowflake. Focus on developing and optimizing data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams.

Location: Hybrid in Romania (Brasov, Cluj-Napoca, Timisoara, Bucharest)

Company

hirify.global is a global technology and consulting corporation focused on innovation in AI, cloud, and hybrid cloud solutions, serving many Fortune 500 companies worldwide.

What you will do

• Design, build, and maintain large-scale data architectures and pipelines.
• Develop data models using Data Vault 2.0 principles in DBT on Snowflake.
• Collaborate with stakeholders to identify and fulfill data requirements.
• Ensure data quality, integrity, and governance across data systems.
• Optimize and automate data pipelines and workflows.
• Work closely with cross-functional teams in a hybrid environment.

Requirements

• Location: Must be based in Romania or able to work hybrid from Brasov, Cluj-Napoca, Timisoara, or Bucharest
• English: B2 level or higher required
• Bachelor's degree in a relevant field.
• Proficiency in Python, SQL, PL/SQL, and Git.
• Experience with DBT, Snowflake, and Data Vault 2.0 data modeling.

Nice to have

• Experience with Azure cloud services.
• Knowledge of data engineering best practices and cloud security principles.
• Familiarity with data quality and governance frameworks.

Culture & Benefits

• Flexible working patterns available upon discussion with recruitment.
• Supportive environment encouraging continuous learning and growth.
• Focus on innovation, collaboration, and responsible technology use.