Senior Data Engineer (Banking, Snowflake, BigData)

OPTIVEUM sp. z o.o.•Capon Bridge, WV
•PLN 165•Hybrid

About The Position

Optiveum is recruiting and contracting a Senior Snowflake Data Engineer for a global banking-sector client, supporting Risk and Regulatory Reporting. The role combines hands-on Snowflake data engineering with banking domain knowledge, particularly Balance Sheet Stress Testing, risk management, and regulatory reporting. The engineer will drive delivery end to end, from requirements analysis and data investigations through production implementation. The opportunity is described as long-term cooperation. The position is full-time (40 hours per week) and hybrid, with at least 60% office presence. Work locations are Tricity (Gdańsk/Gdynia), Warsaw, or Łódź. The rate is up to 165 PLN per hour net on a B2B basis, with the cooperation agreement signed directly with Optiveum.

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, such as Balance Sheet Management, Stress Testing, Treasury and Liquidity, Finance and Regulatory Reporting, Risk Management, and Capital Adequacy.
  • Proven ability to analyse, validate, reconcile, and aggregate data across multiple source systems.
  • Strong business analysis skills, including 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 technical and business stakeholders.
  • Fluent English.

Nice To Haves

  • 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.
  • Experience with Power BI, Tableau, or similar reporting tools.

Responsibilities

  • Design, develop, and maintain enterprise-grade ETL/ELT pipelines in Snowflake.
  • Analyse banking business requirements relating to Balance Sheet Stress Testing, scenario analysis, capital adequacy, liquidity, and risk management.
  • Collaborate with business analysts and finance, treasury, risk, and regulatory stakeholders to implement business logic accurately.
  • Build and optimise data warehousing solutions for large-scale aggregation, transformation, and reporting of financial data.
  • Develop data models supporting stress testing simulations, statistical analysis, and management reporting.
  • Ensure data quality, reconciliation, lineage, governance, and regulatory compliance.
  • Prepare and provision data for downstream analytical, reporting, and regulatory layers.
  • Drive performance optimisation, automation, and continuous improvement of data platforms.
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