Senior Data Engineer (Banking, Snowflake, BigData)
At OPTIVEUM sp. z o.o. · Warsaw; Warsaw, Poland; Gdańsk; Gdańsk, Poland; Gdynia, Poland; Łódź; Łódź, Poland
- Data and ML
- Senior
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Where you’ll work
Hybrid, based in Gdańsk, Warsaw or Łódź
“Warsaw”
From the location.
“Warsaw, Poland”
From the job board field.
“Gdańsk”
From the location.
“Gdańsk, Poland”
From the job board field.
“Gdynia, Poland”
From the job board field.
“Łódź”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 22 October 2026
- First seen by us
- 23 October 2026
- Last checked
- 22 hours ago
Job description
From OPTIVEUM sp. z o.o.’s job post, as they wrote it.
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.
Read the full description
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
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