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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
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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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?
- ABOUT YOU
Senior Data Engineer - Finance Tech(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - ABOUT YOU
(Senior) Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg - ABOUT YOU
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - ABOUT YOU
Analytics Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg - adjoe
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg