Senior Data Engineer (Banking, Snowflake, BigData)
In short
Senior Data Engineer wanted for banking sector role focusing on Risk & Regulatory Reporting. Responsibilities include designing ETL/ELT pipelines in Snowflake, analyzing business requirements, building data warehouses, and ensuring data quality. Requires Snowflake, SQL, data warehousing, and ETL/ELT experience, plus strong business analysis skills and fluent English. Hybrid model in Tricity, Warsaw, or Łódź.
AI-written summary based on the listing content.
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:
- 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
| Published | 2026-10-28 |
| Expires | 2027-01-21 |
| Source |
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