SumUp
Senior Analytics Engineer - Risk Analytics(m/w/x)
Full-timeOn-siteSenior
Berlin
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SUSumUp
Senior Analytics Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Modeling key business domains for global fintech, with event design and data contracts. Production data systems experience required. Virtual stock options, €2000 L&D budget.
Requirements
- Proven experience in analytics or data engineering
- Track record of building production data systems
- Track record of maintaining production data systems
- Expert-level SQL skills
- SQL skills for complex transformations
- SQL skills for query optimisation
- Hands-on experience building layered data models
- Solid command of dbt
- dbt testing experience
- dbt documentation experience
- dbt modelling conventions experience
- Ability to think in terms of business domains
- Translating complex business logic into data models
- Creating durable, reusable data models
- Comfort working across squads
- Contributing to data design conversations
- Helping teams treat data as first-class deliverable
- Deep care for data quality
- Deep care for data trust
- Deep care for data discoverability
- Building models others can rely on
- Proactive mindset around data contracts
- Proactive mindset around data freshness
- Proactive mindset around data observability
- Proactive mindset around data failure scenarios
- Willingness to learn and develop career
Tasks
- Partner with squads on event design and data contracts
- Maintain staging pipelines
- Apply modeling conventions
- Keep domain outputs consistent, tested, and discoverable
- Model key business domains
- Document and quality-assure data products
- Build trusted data sources for merchant activity, product adoption, lifecycle events, and risk scoring
- Construct insights layer on governed domains
- Produce reusable KPI models, funnels, cohorts, and segmentations
- Support self-serve analytics for Product, Commercial, and AI teams
- Implement incremental processing strategies
- Optimize performance and scalability
- Support growing data volumes
- Contribute to data domain strategy
- Establish durable ownership and consistent definitions
- Create shared catalogue of data products
- Unlock self-serve analytics and AI at scale
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Snowflake
- Iceberg
- dbt
Benefits
Informal Culture
- Commitment to diversity and inclusion
Competitive Pay
- Virtual stock option program
Learning & Development
- Annual L&D budget of €2000
Retirement Plans
- Corporate pension scheme with 20% match
More Vacation Days
- 28 days paid leave plus public holidays
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SumUp and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SUSumUp
Senior Analytics Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Modeling key business domains for global fintech, with event design and data contracts. Production data systems experience required. Virtual stock options, €2000 L&D budget.
Requirements
- Proven experience in analytics or data engineering
- Track record of building production data systems
- Track record of maintaining production data systems
- Expert-level SQL skills
- SQL skills for complex transformations
- SQL skills for query optimisation
- Hands-on experience building layered data models
- Solid command of dbt
- dbt testing experience
- dbt documentation experience
- dbt modelling conventions experience
- Ability to think in terms of business domains
- Translating complex business logic into data models
- Creating durable, reusable data models
- Comfort working across squads
- Contributing to data design conversations
- Helping teams treat data as first-class deliverable
- Deep care for data quality
- Deep care for data trust
- Deep care for data discoverability
- Building models others can rely on
- Proactive mindset around data contracts
- Proactive mindset around data freshness
- Proactive mindset around data observability
- Proactive mindset around data failure scenarios
- Willingness to learn and develop career
Tasks
- Partner with squads on event design and data contracts
- Maintain staging pipelines
- Apply modeling conventions
- Keep domain outputs consistent, tested, and discoverable
- Model key business domains
- Document and quality-assure data products
- Build trusted data sources for merchant activity, product adoption, lifecycle events, and risk scoring
- Construct insights layer on governed domains
- Produce reusable KPI models, funnels, cohorts, and segmentations
- Support self-serve analytics for Product, Commercial, and AI teams
- Implement incremental processing strategies
- Optimize performance and scalability
- Support growing data volumes
- Contribute to data domain strategy
- Establish durable ownership and consistent definitions
- Create shared catalogue of data products
- Unlock self-serve analytics and AI at scale
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Snowflake
- Iceberg
- dbt
Benefits
Informal Culture
- Commitment to diversity and inclusion
Competitive Pay
- Virtual stock option program
Learning & Development
- Annual L&D budget of €2000
Retirement Plans
- Corporate pension scheme with 20% match
More Vacation Days
- 28 days paid leave plus public holidays
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SumUp and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
Not a perfect match?
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