Senior Data Engineer (Banking, Snowflake, BigData)
OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
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B2B
Hybrid
Senior
Gdańsk
Łódź
Warszawa, Masovian
Gdynia
Expires Nov 22, 2026
1 day ago
In short
Senior Data Engineer (Banking, Snowflake, Big
Data) in Gdańsk. Design, develop, maintain ETL/ELT pipelines in Snowflake. Analyze banking business requirements for stress testing, risk management. Build data warehousing solutions. B2B, Full-time, Hybrid. Requires Snowflake, SQL, data warehousing, banking data knowledge.
AI-written summary based on the listing content.
Technologies we use
About the project
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This is how we work
Your responsibilities
- Designing, developing and maintaining enterprise-grade ETL/ELT pipelines in Snowflake
- Analysing banking business requirements around Balance Sheet Stress Testing, scenario analysis, capital adequacy, liquidity and risk management
- Working closely with business analysts and finance, treasury, risk and regulatory stakeholders to implement business logic accurately
- Building and optimising data warehousing solutions for large-scale aggregation, transformation and reporting of financial data
- Developing data models that support stress testing simulations, statistical analysis and management reporting
- Ensuring data quality, reconciliation, lineage, governance and regulatory compliance
- Preparing and provisioning data for downstream analytical, reporting and regulatory layers
- Driving performance optimisation, automation and continuous improvement of data platforms
Our requirements
- Strong hands-on experience with Snowflake, SQL and large-scale data warehousing
- Extensive experience building and maintaining ETL/ELT processes in complex enterprise environments
- Deep understanding of banking data, e.g. Balance Sheet Management, Stress Testing, Treasury and Liquidity, Finance and Regulatory Reporting, Risk Management, Capital Adequacy
- Proven ability to analyse, validate, reconcile and aggregate data across multiple source systems
- Strong business analysis skills: requirements gathering, process modelling, stakeholder management and translating 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 for banking data
- Excellent communication skills with both technical and business stakeholders
- Fluent English
Optional
- Experience with EBA, ECB, Basel, ICAAP, ILAAP, IRRBB or other regulatory stress testing frameworks
- Knowledge of Data Vault, dimensional modelling and cloud data platforms
- Experience in Agile/SAFe environments
- Power BI, Tableau or similar reporting tools
This is how we work on a project
| Published | 2026-10-23 |
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