Data Engineer (DBT / Snowflake)

We’re Techbar — a tech services company led by seasoned delivery professionals and engineers.

We help startups, product companies, and digital businesses build and scale software teams through staff augmentation, dedicated squads, and full-cycle product delivery.

Role Overview

We’re looking for a Data Engineer to build modern data platforms and scalable analytics solutions for our clients. You will work with cloud-native data stacks, help design reliable ELT pipelines, and support data-driven decision-making across multiple products.

Key Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines
• Develop and maintain data transformations and analytics models using dbt
• Work with Snowflake as a primary cloud data warehouse
• Optimize data pipelines and warehouse performance
• Collaborate with analytics, BI, and product teams to deliver reliable datasets
• Implement data quality checks, monitoring, and testing
• Work with orchestration tools (e.g., Airflow or similar)
• Maintain documentation and data lineage
• Support analytics and reporting use cases
• Improve data platform scalability and reliability

Required Skills and Experience

• 5+ years of experience in Data Engineering or Analytics Engineering
  
• Strong SQL skills and experience optimizing complex queries
  
• Hands-on experience with Snowflake or similar cloud DWH (BigQuery, Redshift)
  
• Experience with dbt for data modeling and transformations
  
• Experience building data pipelines in cloud environments
  
• Experience with orchestration tools (Airflow or similar)
• Python for data processing and automation
  
• Understanding of data modeling concepts (star schema, dimensional modeling)
  
• Experience working in Agile teams
  
• Good English communication skills

Nice to have

• Experience with modern data stack tools (Fivetran, Stitch, Airbyte, etc.)
  
• Experience with BI tools (Looker, Power BI, Tableau, etc.)
  
• Experience with data governance and data quality frameworks
  
• Experience with streaming data pipelines
  
• Experience with cloud platforms (AWS, Azure, or GCP)

We offer

• Remote-first collaboration model
  
• Long-term international projects
  
• Competitive compensation
  
• Career and professional growth opportunities
  
• Work with modern data technologies and global clients