Dein persönlicher KI-Karriere-Agent
Senior Analytics Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Snowflake
- Iceberg
- dbt
Benefits
Lockere Unternehmenskultur
- Commitment to diversity and inclusion
Attraktive Vergütung
- Virtual stock option program
Weiterbildungsangebote
- Annual L&D budget of €2000
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Mehr Urlaubstage
- 28 days paid leave plus public holidays
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(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Snowflake
- Iceberg
- dbt
Benefits
Lockere Unternehmenskultur
- Commitment to diversity and inclusion
Attraktive Vergütung
- Virtual stock option program
Weiterbildungsangebote
- Annual L&D budget of €2000
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Mehr Urlaubstage
- 28 days paid leave plus public holidays
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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