Senior Data Engineer (Banking,Snowflake,Big Data,ETL,SQL)

ITConnect; Polska; Hybrid; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Hybrid working model

Office presence 60%

Job summary

ITConnect is seeking an experienced ETL / Snowflake Engineer with deep banking domain expertise, focused on Balance Sheet Stress Testing, risk management, and regulatory reporting.

You will translate complex business needs into scalable data solutions, collaborating with business and technical teams to deliver end-to-end data platforms and insights.

Qualifications

• Extensive ETL/ELT experience with Snowflake-based pipelines.
• Banking domain expertise in Balance Sheet Stress Testing, risk management, and regulatory reporting.
• Robust data modeling, data governance, and data quality practices.

Responsibilities

• Design, develop, and maintain enterprise ETL/ELT pipelines using Snowflake.
• Translate business needs into scalable data solutions for stress testing and regulatory reporting.
• Collaborate with analysts, finance, risk, and regulatory teams to implement correct logic.
• Build data warehouses and models to enable large-scale data aggregation and reporting.
• Ensure data quality, lineage, governance, and regulatory compliance.

Skills

ETL/ELT development

Banking domain knowledge

Regulatory reporting

Data modeling

Stakeholder management

Agile/SAFe

Tools

Snowflake

SQL

Power BI

Tableau

Data Vault

Job description

We are looking for an experienced ETL / Snowflake Engineer who combines strong data engineering skills with deep banking domain expertise, particularly in Balance Sheet Stress Testing, Risk Management, and Regulatory Reporting.

The role involves translating complex business needs into scalable, efficient, and reliable data solutions, bridging the gap between business stakeholders and technical teams, conducting detailed data investigations, and driving end-to-end delivery from requirements analysis through to production implementation.

This assignment is suited to professionals who thrive at the intersection of banking business analysis, advanced data engineering, and regulatory-driven data transformation.

• Design, develop, and maintain enterprise-grade ETL/ELT pipelines using Snowflake and modern data engineering technologies
• Analyze and interpret banking business requirements related to Balance Sheet Stress Testing, scenario analysis, capital adequacy, liquidity, and risk management processes
• Collaborate closely with business analysts, finance, treasury, risk, and regulatory stakeholders to ensure accurate implementation of business logic
• Build and optimize data warehousing solutions supporting large-scale aggregation, transformation, and reporting of financial data
• Develop robust data models enabling stress testing simulations, statistical analysis, and management reporting
• Ensure high standards of data quality, reconciliation, lineage, governance, and regulatory compliance
• Support data preparation and provisioning for downstream analytical, reporting, and regulatory consumption layers
• Drive performance optimization, automation, and continuous improvement of data platforms and data processing frameworks
• Strong hands-on experience with Snowflake, SQL, and large-scale data warehousing solutions.
• Extensive experience developing and maintaining ETL/ELT processes in complex enterprise environments.
• Deep understanding of banking data, particularly in Balance Sheet Management, Stress Testing, Treasury and Liquidity, Finance and Regulatory Reporting, Risk Management, and Capital Adequacy Frameworks.
• Proven ability to perform complex data analysis, validation, reconciliation, and aggregation across multiple source systems.
• Strong business analysis skills, including requirements gathering, process modeling, stakeholder management, and translation of business needs into technical solutions.
• Experience with statistical analysis and data preparation for analytical models.
• Understanding of data governance, data quality frameworks, and regulatory requirements impacting banking data landscapes.
• Excellent communication skills with the ability to interact effectively with both technical and business stakeholders.
• Experience with EBA, ECB, Basel, ICAAP, ILAAP, IRRBB, or other regulatory stress testing frameworks.
• Knowledge of Data Vault, dimensional modeling, and cloud-based data platforms.
• Experience working in Agile/SAFe environments.
• Familiarity with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.

To oferujemy:

• Hybrid working model, min. 60% office presence