Senior Data Engineer (Banking, Snowflake, Big Data)
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:
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Rate: up to 165 PLN/h net (B2B)
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Work Model: hybrid, min. 60% office presence, full-time (40 h/week)
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Location: Tricity (Gdańsk/Gdynia), Warsaw or Łódź
Responsibilities:
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Designing, developing and maintaining enterprise-grade ETL/ELT pipelines in Snowflake
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Analysing banking business requirements around Balance Sheet Stress Testing, scenario analysis, capital adequacy, liquidity and risk management
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Working closely with business analysts and finance, treasury, risk and regulatory stakeholders to implement business logic accurately
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Building and optimising data warehousing solutions for large-scale aggregation, transformation and reporting of financial data
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Developing data models that support stress testing simulations, statistical analysis and management reporting
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Ensuring data quality, reconciliation, lineage, governance and regulatory compliance
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Preparing and provisioning data for downstream analytical, reporting and regulatory layers
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Driving performance optimisation, automation and continuous improvement of data platforms
Requirements:
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Strong hands-on experience with Snowflake, SQL and large-scale data warehousing
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Extensive experience building and maintaining ETL/ELT processes in complex enterprise environments
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Deep understanding of banking data, e.g. Balance Sheet Management, Stress Testing, Treasury and Liquidity, Finance and Regulatory Reporting, Risk Management, Capital Adequacy
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Proven ability to analyse, validate, reconcile and aggregate data across multiple source systems
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Strong business analysis skills: requirements gathering, process modelling, stakeholder management and translating business needs into technical solutions
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Experience with statistical analysis and data preparation for analytical models
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Understanding of data governance, data quality frameworks and regulatory requirements for banking data
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Excellent communication skills with both technical and business stakeholders
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Fluent English
Nice to Have:
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Experience with EBA, ECB, Basel, ICAAP, ILAAP, IRRBB or other regulatory stress testing frameworks
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Knowledge of Data Vault, dimensional modelling and cloud data platforms
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Experience in Agile/SAFe environments
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Power BI, Tableau or similar reporting tools
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