We are currently looking for a skilled Senior App Engineer (m/w/d) to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! The Shop Applications Team constantly improves the App, Mobile Website and Desktop Website. These big-scale products are each visited by several million people every month.
We are currently looking for a Staff Frontend Engineer (m/w/d) with a passion to assume leadership responsibilities to support us in building the fastest & most intuitive shopping app using a brand-new tech stack onsite in Hamburg or Berlin! The App & Web Team constantly improves the App, Mobile Website and Desktop Website. These big-scale products are each visited by over 11M active users every month.
What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
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 two 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 Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis. Therefore we’ve implemented a hybrid working model that allows us to work remotely on Mondays and Fridays and to work onsite from Tuesday to Thursday.
As part of the ABOUT YOU Group, SCAYLE unites a diverse team of experts from over 82 countries working in Hamburg, Berlin, and remotely across Europe. Global brands such as Manchester United, Deichmann, Fielmann, s.Oliver, FC Bayern, and Marc O’Polo trust SCAYLE to innovate and grow their businesses.