Data Engineer

Salary: 1,100–1,400 PLN/day on B2B

Work model: Hybrid, with 2–3 days per week from the office in Gdynia, Gdańsk, Warszawa, or Łódź.

Benefits

• Flexible work organization
• International environment with daily English-language use
• Scandinavian organizational culture and work-life balance
• Time for additional training financed by Jit
• Regular integration meetings

Project

You will work on a financial project focused on building and enhancing a modern data platform that supports risk management, reporting, and business decision-making processes. The project delivers scalable, reliable, and automated data solutions using Snowflake technologies and modern data-engineering practices.

As a Database Engineer, you will design and optimize data workflows, implement CI/CD and test-automation frameworks, and ensure the smooth operation of business-critical data processes. You will collaborate with business stakeholders, data engineers, and technology teams to translate business requirements into efficient data solutions and contribute to a modern cloud-based data ecosystem.

Responsibilities

• Design, develop, and optimize data workflows using Snowpark and dbt
• Build and maintain scalable data warehouse solutions
• Design and implement CI/CD pipelines for data-engineering solutions
• Develop and improve automated testing frameworks and deployment processes
• Monitor, troubleshoot, and support monthly production jobs
• Ensure the performance, reliability, and quality of data pipelines
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Work with engineering, architecture, and analytics teams to deliver high-quality data products
• Contribute to best practices in data engineering, automation, and software development
• Participate in continuous-improvement initiatives across the data platform

Expected competences and knowledge

• Proven experience with SQL
• Hands-on experience with dbt (Data Build Tool)
• Strong understanding of Data Warehouse concepts and architecture
• Experience designing, developing, and optimizing data pipelines
• Experience building or working with AI Agents / Agentic AI solutions
• Knowledge of CI/CD principles and software-development best practices
• Strong analytical and problem-solving skills
• Ability to communicate effectively with business and technical stakeholders

Technologies

• Snowflake
• Snowpark
• dbt
• SQL
• Git
• CI/CD tools and automation frameworks
• Data Warehouse technologies
• AI Agent frameworks and tools
• Data quality, testing, and monitoring solutions