/STAFF DATA ENGINEER (M/F/D) - FINANCE TECH - ONSITE IN HAMBURG OR BERLIN

STAFF DATA ENGINEER (M/F/D) - FINANCE TECH - ONSITE IN HAMBURG OR BERLIN

Hamburg or BerlinRemotedevia direct
// Job Type
Full Time
// Salary
EUR 85,000 - 85,000/year
// Salary Range
85,000–85,000 EUR / year
// Posted
1 month ago
// Work Mode
hybrid

About the Role

STAFF DATA ENGINEER (M/F/D) - FINANCE TECH - ONSITE IN HAMBURG OR BERLIN Salary Range: 85.000€+ Contract Type: Experienced Start Date: From now on Location: Hamburg or Berlin (hybrid) Our online fashion store ABOUT YOU is one of the fastest growing eCommerce players in Europe and has already won several awards. As a fashion and technology company, we work together towards our goal of making the shopping experience more inspiring and personal for our customers. We are currently looking for a skilled & passionate Data Engineer (m/f/d) to join our Commerce Finance Tech Circle Cluster at ABOUT YOU! Our ABOUT YOU Commerce Finance Tech Circle Cluster is responsible for connecting to the ABOUT YOU Commerce ERP solution to ensure the regulatory compliance of our commerce business. Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. WHAT YOU WILL DO: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms WHO YOU ARE: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments BENEFITS Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Laracast account for free Company parties Help in the relocation process Mobility subsidy State-of-the-art technology Central Location Flexible Working Hours Company pension Professional training Dog-friendly office

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