20 beste Stellen als data engineer in karben – aktuell auf Personalsuche

Data Scientist (f/x/m)
spotixx GmbH —Frankfurt am Main
- Hybrides Arbeiten
- Azure
- Informatik
- SQL
Direkt bewerben
1 Tag
Senior Business Analyst
Luxoft —Frankfurt am Main
- Erfahrung im Bankwesen
4 Tage
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Allianz —Frankfurt am Main
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- Informatik
- DevOps
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Bloomberg —Frankfurt am Main
- Doktorat
- Informatik
- Master
IT Graduate Trainee Program - Trading Technology (f/m/d)
Deutsche Börse —Frankfurt am Main
- Hybrides Arbeiten
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Lead AI Engineer - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
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- Azure
- Master
- Künstliche Intelligenz
Direkt bewerben
AI Engineer II - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
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- Azure
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- Softwareentwicklung
Direkt bewerben
Staff Platform Engineer
AeroVect —Frankfurt am Main
- Vollzeit
- C++
- Linux
- Python
Director of API Integrations (Crypto / Blockchain)
Caiz —Frankfurt am Main
- Homeoffice
- Informatik
- Master
- AWS
- Umzugskostenzuschuss
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Machine Learning Engineer - Medizinische KI-Entwicklung - Arbeitsgruppe Machine Learning
Universitätsmedizin Frankfurt —Frankfurt am Main
- Vollzeit
- Medizin
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- Informatik
Direkt bewerben
Senior AI Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- Master
Direkt bewerben
IT Solution Architekt*in
Union Asset Management Holding AG —Frankfurt am Main
- Teilzeit
- Hybrides Arbeiten
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Senior Software Engineer - Market Oversight
Bloomberg —Frankfurt am Main
- Informatik
- Java
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Senior Systems Engineer Linux (f/m/d)
Drooms GmbH —Frankfurt am Main
- Vollzeit
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- Englisch
- Mitgliedschaft im Fitnessstudio
- Flexible Arbeitszeiten
12 Tage
Cloud Engineer (m/w/d)
statworx —Frankfurt am Main
- Vollzeit
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Direkt bewerben
SAP Transformation Engineer (m/w/d)
cbs Corporate Business Solutions GmbH —Frankfurt am Main
- Vollzeit
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Direkt bewerben
Principal CAP & BTP Cloud Native Engineer (m/f/d)
SAP Fioneer —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Java
- Bachelor
- APIs
Direkt bewerben
9 Tage
Lead Engineer (f/m/x) – Credit Risk IT
Deutsche Bank —Frankfurt am Main
- Vollzeit
- Hybrides Arbeiten
- Java
- Master
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Senior AI Engineer - Agentic AI Platform
paiqo GmbH —Frankfurt am Main
- Vollzeit
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- Azure
- DevOps
- Datenbanken
Direkt bewerben
Senior Software Engineer - Trade Automation
Bloomberg —Frankfurt am Main
- Informatik
- Java
- C++

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Data Scientist (f/x/m)

spotixx GmbH
Frankfurt am Main

Direkt bewerben

Details zur Stelle

vor 1 Tag

Qualifikationen

Azure
Informatik
Google Cloud Platform
SQL
AWS
Machine Learning
Finanzdienstleistungen
Wirtschaft
Kommunikationsfähigkeit
Erfahrung im Bankwesen
Python

Vollständige Stellenbeschreibung

spotixx is a Frankfurt-based European FinTech building technology for the regulated financial sector. Founded in 2019, we are a 60+ people team with deep, established relationships across the German and wider European banking sector, built on years of fraud investigation and insights work delivered inside major banks.

We are bootstrapped and set our own strategy and our own policies, without the compromises of chasing investor timelines. The market is moving toward us: European regulators are opening the door to cross-institutional financial crime intelligence, and we are scaling the team rapidly to meet strong inbound demand.

Tasks

We are looking for a hands-on Data Scientist who is passionate about applying machine learning to real-world financial crime problems. You enjoy working with complex transactional data, take ownership of models from idea to production, and care about building solutions that are not only accurate but also robust, explainable, and scalable. You are comfortable working in a fast-growing scale-up and collaborating closely with engineers and product teams.

Your responsibilities

Develop and improve ML models for fraud detection
Work on automated rule discovery and optimization for fraud detection
Explore transactional and behavioral data to identify suspicious patterns
Own feature engineering, model training, validation, and monitoring
Take models from prototype to production
Communicate results clearly to technical and business stakeholders

Requirements

Your profile

Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
2–3 years of hands-on experience in machine learning and applied data science, ideally in fraud detection, banking, or financial services
Strong proficiency in Python and SQL
Deep understanding of classification and anomaly detection algorithms, with the ability to select, tune, and evaluate models using appropriate metrics and validation strategies
End-to-end ownership: from exploring high-dimensional data and building models to visualizing results, deploying to cloud platforms (GCP, Azure, or AWS), and managing the full model lifecycle
Experience with LLMs and agentic workflows
Familiarity with model explainability tools such as SHAP and model cards
Structured, self-directed working style and strong communication skills
Fluent in English; professional working proficiency in German, including client-facing technical discussions

Benefits

What we offer

Attractive compensation
Flexible hybrid work model, allowing you to split your time between our office in Frankfurt and working from home
High ownership and real impact in a growing fintech
Flat structures and short paths from idea to action
A collaborative, international team culture

We welcome applications from all qualified people, as diversity enriches us. Your perspective matters: regardless of gender, age, origin, religion, sexual orientation, or disability. Applicants with disabilities will be given preference when equally qualified.

Direkt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in karben erhalten

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