Strong Experience in Monitoring and Observability of the infrastructure (Datadog preferred) and vulnerabilities discovery and tracking with tools such us Falco, Guardduty Strong experience in architectural design for cloud optimized applications Fluent in English both spoken and written Nice to have: AWS or K8s certifications 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.
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.
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.
We are currently looking for a skilled Principal App 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! As a Principal position, this role requires a high degree of autonomous working and reports directly to the Director of Engineering.
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.
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.
Business Center: Safety Standorte: Stuttgart, Berlin, Leipzig & remote Ihre Kernaufgaben umfassen: Verstärkung bestehender Projektteams im Bereich funktionale Sicherheit für Bahnanwendungen Entwicklung wegweisender, sicherheitskritischer Systemlösungen mit Schwerpunkt auf Sicherheit und Zuverlässigkeit (RAM) hochkomplexer, elektronischer Systeme Konzeptentwicklung für und Durchführung von Analysen wie z.B.