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Santander Consumer Bank SA Tech Stack

Polish consumer bank scaling AI and automation across lending and marketing

Banking Wrocław, Dolnośląskie 1,001–5,000 employees Founded 2006 Public Company

Santander Consumer Bank is building out AI/ML infrastructure while modernizing its core banking operations. The tech stack reveals a hybrid approach—mature enterprise tools (SAP, SQL Server, Salesforce Marketing Cloud) alongside emerging AI patterns (RAG, RPA, Python)—and active adoption of Azure DevOps and Git suggests the organization is formalizing development practices. Current project velocity centers on AI architecture for banking processes, receivables automation, and marketing personalization, with internal pain points around model lifecycle management and AI compliance indicating the bank is learning to operationalize these capabilities at scale.

Tech Stack 40 technologies

Core StackPython RAG Windows Server SQL Server Linux Jira Confluence Figma Power BI Power Query JavaScript SAP SQL RPA IBM LinkedIn Learning PowerShell IIS Octopus Deploy Microsoft Office Excel VBA Salesforce Marketing Cloud Salesforce Marketing Cloud Personalization AMPscript HTML Word PowerPoint Teams R+9 more
AdoptingAzure DevOps Git

What Santander Consumer Bank SA Is Building

Challenges

  • Identifying automation potential
  • Model lifecycle management
  • Ensuring ai compliance
  • Operational inefficiencies in receivables sales process
  • Slow information flow
  • Lack of streamlined due diligence
  • Budgeting and forecasting support
  • Product profitability analysis
  • Financial offer development
  • Optimizing marketing cloud processes

Active Projects

  • End-to-end ai/ml solution deployment
  • Ai architecture development for banking processes
  • Ai agent deployment and orchestration
  • Receivables portfolio sales process optimization
  • Due diligence process organization
  • Forecasting model development
  • Data model development for marketing
  • Direct marketing campaign optimization
  • Advanced personalization implementation
  • Crm analytics tool development

Hiring Activity

Steady15 roles · 6 in 30d

Department

Engineering
3
Data
2
Finance
2
Sales
2
Marketing
1
Ops
1
Security
1
Support
1

Seniority

Senior
5
Mid
4
Junior
3
Lead
1
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About Santander Consumer Bank SA

Santander Consumer Bank is a subsidiary of the Spanish Santander Group and a major player in Poland's consumer finance market. Founded in 2006, the bank operates across installment loans, cash loans, credit cards, vehicle financing, term deposits, and insurance products for individuals and institutions. The company also serves car dealers and used-car dealers with specialized business loan offerings. With 1,001–5,000 employees headquartered in Wrocław, the organization competes primarily on product breadth and regional market position. Recent hiring is concentrated in engineering, data, and finance roles, reflecting internal investment in analytics infrastructure and automation rather than expansion of sales or customer-facing capacity.

HeadquartersWrocław, Dolnośląskie
Company Size1,001–5,000 employees
Founded2006
Hiring MarketsPoland

Frequently Asked Questions

What is Santander Consumer Bank Poland's tech stack?

Core tools include SQL Server, SAP, Salesforce Marketing Cloud, Python, and Power BI. The bank is adopting Azure DevOps and Git; recently deployed RAG, RPA, and AI/ML platforms for banking processes.

Is Santander Consumer Bank hiring engineers?

Yes. Engineering roles are the largest active hiring category (3 open, with senior and mid-level seniority. Hiring is limited to Poland.

What is Santander Consumer Bank working on?

Primary projects include end-to-end AI/ML deployment for banking processes, AI agent orchestration, receivables portfolio automation, forecasting models, and marketing campaign personalization via Salesforce Marketing Cloud.

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