Dein persönlicher KI-Karriere-Agent
Senior Analytics Engineer - Run & Grow(m/w/x)
Modeling merchant activity and product adoption for fintech products. Expert SQL and production data systems experience required. €2000 annual L&D budget, 20% pension match.
Anforderungen
- Proven experience in analytics or data engineering
- Building and maintaining production data systems
- Expert-level SQL skills
- Complex query optimisation
- Building layered data models
- Solid command of dbt
- dbt testing, documentation, and modelling conventions
- Thinking in business domains
- Translating business logic into data models
- Clean, durable, reusable data models
- Comfort working across squads
- Contributing to data design conversations
- Treating data as a first-class deliverable
- Care for data quality, trust, and discoverability
- Building reliable data models
- Proactive mindset around data contracts, freshness, observability, and failure scenarios
- Room to learn and develop career
Aufgaben
- Partner with squads on event design and data contracts
- Maintain staging pipelines and apply modeling conventions
- Ensure domain outputs are consistent, tested, and discoverable
- Model key business domains like merchant activity and product adoption
- Build lifecycle events and risk scoring data products
- Create well-documented, quality-assured data products
- Produce reusable KPI models, funnels, and segmentations
- Support Product, Commercial, and AI teams with self-serve data
- Implement incremental processing strategies
- Optimize performance and data architecture
- Support growing data volumes
- Contribute to SumUp's data domain strategy
- Establish durable ownership and consistent definitions
- Develop a shared catalogue of data products
- Unlock self-serve analytics and AI at scale
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Snowflake
- Iceberg
- dbt
Benefits
Weiterbildungsangebote
- Annual L&D budget of €2000
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Sonstige Vorteile
- Work with SumUppers globally on fintech products
Modernes Büro
- Office-first setup in Berlin
Lockere Unternehmenskultur
- Commitment to Diversity and Inclusion
Attraktive Vergütung
- Virtual Stock Option programme
Mehr Urlaubstage
- 28 days paid leave plus public holidays
- Special leave days
Gesundheits- & Fitnessangebote
- Urban Sports Club subsidy
Kinderbetreuung
- Kita placement assistance
Gratis oder Vergünstigte Mahlzeiten
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Boni & Prämien
- Referral Bonus
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Senior Analytics Engineer - Run & Grow(m/w/x)
Modeling merchant activity and product adoption for fintech products. Expert SQL and production data systems experience required. €2000 annual L&D budget, 20% pension match.
Anforderungen
- Proven experience in analytics or data engineering
- Building and maintaining production data systems
- Expert-level SQL skills
- Complex query optimisation
- Building layered data models
- Solid command of dbt
- dbt testing, documentation, and modelling conventions
- Thinking in business domains
- Translating business logic into data models
- Clean, durable, reusable data models
- Comfort working across squads
- Contributing to data design conversations
- Treating data as a first-class deliverable
- Care for data quality, trust, and discoverability
- Building reliable data models
- Proactive mindset around data contracts, freshness, observability, and failure scenarios
- Room to learn and develop career
Aufgaben
- Partner with squads on event design and data contracts
- Maintain staging pipelines and apply modeling conventions
- Ensure domain outputs are consistent, tested, and discoverable
- Model key business domains like merchant activity and product adoption
- Build lifecycle events and risk scoring data products
- Create well-documented, quality-assured data products
- Produce reusable KPI models, funnels, and segmentations
- Support Product, Commercial, and AI teams with self-serve data
- Implement incremental processing strategies
- Optimize performance and data architecture
- Support growing data volumes
- Contribute to SumUp's data domain strategy
- Establish durable ownership and consistent definitions
- Develop a shared catalogue of data products
- Unlock self-serve analytics and AI at scale
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Snowflake
- Iceberg
- dbt
Benefits
Weiterbildungsangebote
- Annual L&D budget of €2000
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Sonstige Vorteile
- Work with SumUppers globally on fintech products
Modernes Büro
- Office-first setup in Berlin
Lockere Unternehmenskultur
- Commitment to Diversity and Inclusion
Attraktive Vergütung
- Virtual Stock Option programme
Mehr Urlaubstage
- 28 days paid leave plus public holidays
- Special leave days
Gesundheits- & Fitnessangebote
- Urban Sports Club subsidy
Kinderbetreuung
- Kita placement assistance
Gratis oder Vergünstigte Mahlzeiten
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Boni & Prämien
- Referral Bonus
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
SumUp
Branche
FinancialServices
Beschreibung
The company is a leading global fintech company committed to leveling the playing field for small businesses.
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