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Expert Data Engineer

Summary

Designs and optimizes Snowpark and DBT pipelines for a financial data warehouse, implements CI/CD and automated testing, and collaborates with teams to ensure reliable data processing.

Salary: 1000 - 1300 PLN/day on B2B

Work model: hybrid from Gdynia / Gdańsk / Warszawa / Łódź (3 days per week from the office)

Why choose this offer?

  • You can expect a flexible work organization
  • The international work environment will give you the opportunity to interact with the English language on a daily basis
  • Scandinavian organizational culture will provide you with work‑life balance, you will gain time for additional training (financed by Jit)
  • The Jit community will bring you a nice time during regular integration meetings

Project

You will be involved in a financial project focused on building and optimizing modern data warehouse solutions and data workflows. As a Data Engineer, you will design, implement, and enhance Snowpark and DBT pipelines, while setting up and improving CI/CD processes and automated testing frameworks. Your role will also include monitoring monthly jobs and collaborating closely with both business and technology teams to ensure efficient data processing and delivery.

Responsibilities You’ll Have

  • Design, implement, and optimize data workflows using Snowpark and DBT
  • Develop and maintain CI/CD pipelines and automated testing frameworks
  • Monitor and support monthly data processing jobs to ensure reliability and performance
  • Collaborate closely with business and technology teams to understand requirements and deliver data solutions
  • Identify and implement improvements in data architecture and processing efficiency
  • Support the development of scalable and high-quality data warehouse solutions

Expected competences and knowledge

  • Strong proficiency in SQL
  • Hands‑on experience with DBT
  • Solid understanding of data warehouse concepts and architecture
  • Experience in building AI agents
  • Familiarity with designing and optimizing data processing workflows
  • Knowledge of CI/CD practices and test automation
  • Strong analytical thinking and problem‑solving skills
  • Good communication skills and ability to work with cross‑functional teams
  • Nice to have: Experience in the banking domain and knowledge of Credit Risk processes

Technologies you’ll work with

  • SQL
  • DBT
  • Snowpark
  • Data Warehouse solutions
  • CI/CD tools
  • Test automation frameworks
  • AI agent development tools

See also