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(Senior) Data Engineer - Finance Tech(m/w/x)
Developing statistical models and algorithms for marketing challenges in circular fashion tech. Two years hands-on Data Science, SQL, Python/R, and Dagster experience required. 40% online shop discount, free sports courses.
Requirements
- At least two years of hands-on experience in Data Science
- Initial experience with machine learning algorithms and understanding of data analysis methods
- Proficiency in SQL and either Python or R
- Experience with Dagster or comparable data orchestration tools
- Curiosity and enjoyment of exploring new topics and technologies
Tasks
- Develop and evaluate statistical models and algorithms for marketing challenges
- Analyze complex data to uncover insights and optimize performance
- Identify correlations between key figures and provide actionable recommendations
- Link and utilize data from tracking systems and reporting sources
- Support the development and testing of performance-related attribution models
- Initiate and enhance prediction and classification models using machine learning algorithms
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- R
- Dagster
Benefits
Flexible Working
- Flexible working times
Corporate Discounts
- 40% discount on online shop
Snacks & Drinks
- Fresh fruits and drinks
Learning & Development
- Language courses
Healthcare & Fitness
- Free sports courses
- Reduced price for gym membership
Public Transport Subsidies
- Subsidized public transportation ticket
Modern Equipment
- Free choice of hardware
- State-of-the-art tech stack
Modern Office
- Modern office in city center
Informal Culture
- International working environment
Other Benefits
- Company flats
- Free access to developer conference
- Help in relocation and VISA process
Startup Environment
- Agile work environment
Not a perfect match?
- EraneosFull-timeWith HomeofficeSeniorHamburg
- LAIQON AG
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(Senior) Data Engineer - Finance Tech(m/w/x)
Developing statistical models and algorithms for marketing challenges in circular fashion tech. Two years hands-on Data Science, SQL, Python/R, and Dagster experience required. 40% online shop discount, free sports courses.
Requirements
- At least two years of hands-on experience in Data Science
- Initial experience with machine learning algorithms and understanding of data analysis methods
- Proficiency in SQL and either Python or R
- Experience with Dagster or comparable data orchestration tools
- Curiosity and enjoyment of exploring new topics and technologies
Tasks
- Develop and evaluate statistical models and algorithms for marketing challenges
- Analyze complex data to uncover insights and optimize performance
- Identify correlations between key figures and provide actionable recommendations
- Link and utilize data from tracking systems and reporting sources
- Support the development and testing of performance-related attribution models
- Initiate and enhance prediction and classification models using machine learning algorithms
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- R
- Dagster
Benefits
Flexible Working
- Flexible working times
Corporate Discounts
- 40% discount on online shop
Snacks & Drinks
- Fresh fruits and drinks
Learning & Development
- Language courses
Healthcare & Fitness
- Free sports courses
- Reduced price for gym membership
Public Transport Subsidies
- Subsidized public transportation ticket
Modern Equipment
- Free choice of hardware
- State-of-the-art tech stack
Modern Office
- Modern office in city center
Informal Culture
- International working environment
Other Benefits
- Company flats
- Free access to developer conference
- Help in relocation and VISA process
Startup Environment
- Agile work environment
About the Company
ABOUT YOU
Industry
Retail
Description
The company empowers acceptance and shapes an inclusive, fair, and circular fashion culture.
Not a perfect match?
- Eraneos
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - LAIQON AG
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Full-timeWith HomeofficeExperiencedHamburg - Simon-Kucher
Manager Data Engineering(m/w/x)
Full-timeWith HomeofficeManagementBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - Artefact
Senior Data Scientist (Marketing)(m/w/x)
Full-timeWith HomeofficeManagementEssen, Hamburg - q.beyond AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorOberhausen, Hamburg, Leipzig, Köln, Darmstadt, Ulm, Augsburg