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Senior Analytics Engineer - Risk Analytics(m/w/x)
Building regulatory reporting pipelines and complex data models for merchant activity at a global fintech. Strong dbt and Snowflake skills required. 30 days sabbatical after 3 years.
Requirements
- 5+ years of professional experience in tech, startups, data warehousing, or analytics
- Strong, hands-on knowledge of dbt (project ownership, coding guidelines, best practices, automated enforcement)
- Solid SQL skills with experience designing, building, and managing complex data models in a cloud data warehouse (ideally Snowflake), with a focus on performance and maintainability
- Development experience in Python for pipeline development and automation
- Experience with Git and CI/CD workflows
- Strong ability to analyze complex data issues and provide robust, scalable data products
- Strong problem-solving and analytical skills, with clear communication to technical and non-technical stakeholders
- Ability to manage multiple priorities and stakeholders effectively across teams
- Experience with data mesh architecture
- Experience in fintech and transactional data models
- Experience with pipelines orchestration and scheduling
- Experience with AWS
- Willingness to learn and develop career
Tasks
- Build and maintain complex data models for merchant activity
- Develop and maintain regulatory reporting pipelines
- Ensure compliance with varying reporting frequencies and GRC requirements
- Develop and own data validation strategies for regulatory reports
- Follow dbt best practices and maintain the dbt project
- Collaborate with Data Engineers, Data Scientists, and backend engineers
- Monitor and control computing expenses
- Identify opportunities to improve cost-efficiency
- Extract and present pipeline metrics through clear dashboards
- Contribute to a robust data infrastructure for self-service analytics
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- dbt
- SQL
- Snowflake
- Python
- Git
- CI/CD
- AWS
Benefits
Learning & Development
- Annual L&D budget of €2,000
Competitive Pay
- VSOP program
Retirement Plans
- Corporate pension scheme with 20% match
Workation & Sabbatical
- 30 days sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Other Benefits
- Relocation assistance
Free or Subsidized Food
- Subsidised office lunches
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Senior Analytics Engineer - Risk Analytics(m/w/x)
Building regulatory reporting pipelines and complex data models for merchant activity at a global fintech. Strong dbt and Snowflake skills required. 30 days sabbatical after 3 years.
Requirements
- 5+ years of professional experience in tech, startups, data warehousing, or analytics
- Strong, hands-on knowledge of dbt (project ownership, coding guidelines, best practices, automated enforcement)
- Solid SQL skills with experience designing, building, and managing complex data models in a cloud data warehouse (ideally Snowflake), with a focus on performance and maintainability
- Development experience in Python for pipeline development and automation
- Experience with Git and CI/CD workflows
- Strong ability to analyze complex data issues and provide robust, scalable data products
- Strong problem-solving and analytical skills, with clear communication to technical and non-technical stakeholders
- Ability to manage multiple priorities and stakeholders effectively across teams
- Experience with data mesh architecture
- Experience in fintech and transactional data models
- Experience with pipelines orchestration and scheduling
- Experience with AWS
- Willingness to learn and develop career
Tasks
- Build and maintain complex data models for merchant activity
- Develop and maintain regulatory reporting pipelines
- Ensure compliance with varying reporting frequencies and GRC requirements
- Develop and own data validation strategies for regulatory reports
- Follow dbt best practices and maintain the dbt project
- Collaborate with Data Engineers, Data Scientists, and backend engineers
- Monitor and control computing expenses
- Identify opportunities to improve cost-efficiency
- Extract and present pipeline metrics through clear dashboards
- Contribute to a robust data infrastructure for self-service analytics
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- dbt
- SQL
- Snowflake
- Python
- Git
- CI/CD
- AWS
Benefits
Learning & Development
- Annual L&D budget of €2,000
Competitive Pay
- VSOP program
Retirement Plans
- Corporate pension scheme with 20% match
Workation & Sabbatical
- 30 days sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Other Benefits
- Relocation assistance
Free or Subsidized Food
- Subsidised office lunches
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SumUp
Industry
FinancialServices
Description
The company is a leading global fintech company committed to leveling the playing field for small businesses.
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