Data Engineer

emagine; Województwo pomorskie; Hybrid; PLN 193,000 - 275,000; Full time

Benefits offered by this job

Hybrid work in Gdańsk - 3 days perweek

Long-term

Job summary

emagine in Gdańsk, Poland is seeking a Database Engineer to design, implement, and optimize Snowpark and DBT workflows within a modern data warehouse. You will build scalable data pipelines, develop complex SQL queries, and support CI/CD for data engineering while collaborating with engineering, data, and business teams.

This is a long-term role with hybrid work: three days per week in the office and a focus on reliability, automation, and data quality.

Qualifications

• Strong SQL skills and ability to write and optimize complex queries.
• Hands-on experience designing and maintaining data transformation workflows with DBT.
• Good understanding of data warehouse architecture, modeling, and processing concepts.
• Experience with Snowpark or similar modern cloud data platforms (Snowflake).
• Experience implementing or maintaining automated deployment pipelines (CI/CD).
• Knowledge of automated testing approaches in data engineering environments.
• Experience building AI-powered agents or agent-based automation is a plus.
• Experience monitoring, troubleshooting, and optimizing scheduled data jobs.
• Excellent written and verbal communication; ability to work with technical and non-technical stakeholders.
• Professional working proficiency in English.

Responsibilities

• Design, implement, maintain, and optimize Snowpark and DBT workflows.
• Build and improve scalable data transformation pipelines in a modern data warehouse.
• Develop and optimize complex SQL queries, data models, and database processes.
• Support CI/CD for data engineering workflows and automated testing frameworks.
• Collaborate with engineering, data, and business teams to translate requirements into solutions.
• Monitor production jobs, troubleshoot failures, and implement long-term improvements.
• Document solutions, workflows, and technical processes.

Skills

SQL

DBT

Data Warehousing

Snowpark

CI/CD

Test automation

AI agents

Monitoring

Communication

English proficiency

Job description

• Hybrid work in Gdańsk - 3 days per week in the office
• Long-term

• Banking
• B2B up to 170zł/h
• Hybrid work in Gdańsk - 3 days per week in the office
• Long-term

Main Responsibilities

As a Database Engineer, you will be responsible for:

• Designing, implementing, maintaining, and optimizing Snowpark and DBT workflows
• Building and improving scalable data transformation pipelines within a modern data warehouse environment
• Developing and optimizing complex SQL queries, data models, and database processes
• Supporting the design and implementation of CI/CD pipelines for data engineering workflows
• Building and improving automated testing frameworks to ensure data quality and reliability
• Monitoring recurring and monthly production jobs, identifying failures, performance issues, or data inconsistencies
• Troubleshooting data pipeline and database-related issues and implementing long-term improvements
• Optimizing existing workflows with a focus on performance, stability, maintainability, and automation
• Supporting the development and implementation of AI agents and exploring opportunities to use AI to automate or improve data-related processes
• Collaborating with business stakeholders to understand requirements and translate them into technical solutions
• Working closely with engineering, data, and business teams across the organization
• Documenting implemented solutions, workflows, and technical processes

Key Requirements

• SQL – strong practical knowledge, including writing and optimizing complex queries
• DBT – hands-on experience designing and maintaining data transformation workflows
• Data Warehousing – good understanding of data warehouse architecture, data modeling, transformation, and data processing concepts
• Snowpark / Snowflake ecosystem – experience working with Snowpark or similar modern cloud data platforms
• CI/CD – experience implementing or maintaining automated deployment pipelines
• Test automation – understanding of automated testing approaches within data engineering environments
• AI agent development / creation – practical exposure to building AI-powered agents or implementing agent-based automation
• Experience with monitoring, troubleshooting, and optimizing scheduled data processing jobs
• Strong communication skills and ability to cooperate with both technical and non-technical stakeholders
• Professional working proficiency in English

Nice to Have

• Previous experience within banking or financial services
• Knowledge of Credit Risk processes, data, or systems
• Experience working with large-scale enterprise data environments
• Understanding of data governance, data quality, and regulatory requirements within financial institutions