Data Engineer

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