
Posted 6 days ago
Senior Data Engineer (Banking, Snowflake, BigData)
AI Summary
Designs and maintains enterprise-grade Snowflake ETL/ELT pipelines for banking risk and regulatory reporting, translating Balance Sheet Stress Testing and capital adequacy requirements into data solutions.
About this role
About the Offer
We are currently looking for a Senior Snowflake Data Engineer to join the team of our global client from the banking sector, working in the area of Risk and Regulatory Reporting. You will combine hands-on data engineering in Snowflake with banking domain knowledge, especially Balance Sheet Stress Testing, risk management and regulatory reporting, and drive delivery end to end: from requirements analysis and data investigations to production implementation. We are looking for long-term cooperation. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.
Key Details:
Rate: up to 165 PLN/h net (B2B)
Work Model: hybrid, min. 60% office presence, full-time (40 h/week)
Location: Tricity (Gdańsk/Gdynia), Warsaw or Łódź
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
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
Nice to Have:
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
Skills
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