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Senior Data & Financial Analytics Engineer(m/w/x)
Building financial metrics and data models for B2B payment solutions. Advanced SQL and modern data stack experience required. Big responsibilities with talent development.
Requirements
- Strong hands-on experience in financial analytics and reporting
- Solid background in analytics engineering or data engineering
- Advanced SQL proficiency and modern data stack experience
- Proven experience building data models, warehouses, and BI layers at scale
- Deep understanding of accounting principles and financial processes
- Familiarity with regulatory reporting frameworks
- Understanding of reconciliation processes
- Experience in controlled or regulated data environments
- Systems and architecture thinking
- Balancing business impact with technical scalability
- Proactive, structured, and outcome-driven approach
- Clear communication and audience adaptation
Tasks
- Translate business questions into data solutions
- Partner with Finance, Leadership, and Business teams
- Own and evolve core financial metrics
- Ensure financial metrics are accurate and trusted
- Deliver high-impact analyses for decisions
- Align with accounting standards and financial processes
- Design and implement end-to-end data solutions
- Build and maintain robust ELT pipelines
- Build scalable data models
- Architect data warehouses
- Architect semantic layers
- Translate stakeholder requirements into data products
- Optimize data performance, reliability, and cost
- Develop and maintain clean data models
- Document data models for team reliance
- Create intuitive dashboards
- Build self-serve analytics tools
- Empower non-technical users with analytics
- Define a single source of truth for metrics
- Enforce a single source of truth for metrics
- Lead requirements gathering via interviews
- Lead requirements gathering via workshops
- Act as an internal solution architect
- Bridge technical capabilities and business needs
- Contribute to data project scoping
- Contribute to data project pricing
- Contribute to data project estimation
- Communicate complex data topics clearly
- Communicate complex data topics effectively
- Drive data quality across the organization
- Drive data consistency across the organization
- Drive data governance frameworks
- Champion cross-functional alignment on metrics
- Champion cross-functional alignment on data standards
- Contribute to data strategy
- Contribute to analytics roadmap
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- modern data stack
Benefits
Purpose-Driven Work
- Big responsibilities
Informal Culture
- Flat hierarchy
- Relaxed professional atmosphere
Job Security
- Transparent communication
Other Benefits
- Talent development
Flexible Working
- Flexible work
- Remote work
Additional Allowances
- Company card with allowance
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Senior Data & Financial Analytics Engineer(m/w/x)
Building financial metrics and data models for B2B payment solutions. Advanced SQL and modern data stack experience required. Big responsibilities with talent development.
Requirements
- Strong hands-on experience in financial analytics and reporting
- Solid background in analytics engineering or data engineering
- Advanced SQL proficiency and modern data stack experience
- Proven experience building data models, warehouses, and BI layers at scale
- Deep understanding of accounting principles and financial processes
- Familiarity with regulatory reporting frameworks
- Understanding of reconciliation processes
- Experience in controlled or regulated data environments
- Systems and architecture thinking
- Balancing business impact with technical scalability
- Proactive, structured, and outcome-driven approach
- Clear communication and audience adaptation
Tasks
- Translate business questions into data solutions
- Partner with Finance, Leadership, and Business teams
- Own and evolve core financial metrics
- Ensure financial metrics are accurate and trusted
- Deliver high-impact analyses for decisions
- Align with accounting standards and financial processes
- Design and implement end-to-end data solutions
- Build and maintain robust ELT pipelines
- Build scalable data models
- Architect data warehouses
- Architect semantic layers
- Translate stakeholder requirements into data products
- Optimize data performance, reliability, and cost
- Develop and maintain clean data models
- Document data models for team reliance
- Create intuitive dashboards
- Build self-serve analytics tools
- Empower non-technical users with analytics
- Define a single source of truth for metrics
- Enforce a single source of truth for metrics
- Lead requirements gathering via interviews
- Lead requirements gathering via workshops
- Act as an internal solution architect
- Bridge technical capabilities and business needs
- Contribute to data project scoping
- Contribute to data project pricing
- Contribute to data project estimation
- Communicate complex data topics clearly
- Communicate complex data topics effectively
- Drive data quality across the organization
- Drive data consistency across the organization
- Drive data governance frameworks
- Champion cross-functional alignment on metrics
- Champion cross-functional alignment on data standards
- Contribute to data strategy
- Contribute to analytics roadmap
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- modern data stack
Benefits
Purpose-Driven Work
- Big responsibilities
Informal Culture
- Flat hierarchy
- Relaxed professional atmosphere
Job Security
- Transparent communication
Other Benefits
- Talent development
Flexible Working
- Flexible work
- Remote work
Additional Allowances
- Company card with allowance
About the Company
Pliant
Industry
FinancialServices
Description
The company is a European fintech specializing in B2B payment solutions, helping businesses streamline spending and improve cash flow.
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