Data Engineer (DBT, Snowflake)

TL;DR

Data Engineer (DBT, Snowflake): Designing and implementing scalable data models and robust ETL/ELT pipelines for an investment management solution with an accent on transforming raw data into a golden source. Focus on building DBT Cloud models, Airflow jobs, and identifying bottlenecks in data delivery for critical applications.

Location: Hybrid in Belgrade, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Odesa, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, Yerevan, or remote from Bulgaria, Georgia, Poland.

Company

hirify.global is a global technology consulting and software engineering firm providing services to one of the world’s top 20 investment companies.

What you will do

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.
• Create a golden source of data for all downstream systems and applications.
• Aggregate and analyze data from multiple sources for a data marketplace.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English (B2 level).

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).

Culture & Benefits

• Paid vacation and sick leave according to local laws.
• Assistance with health insurance for you and your loved ones.
• Time off for state holidays.
• Opportunities for career growth, IT certifications, and access to top-tier learning platforms.
• Corporate parties and team get-togethers.
• Comfort service for technical and everyday work problems.