Für einen unserer Großkunden suchen wir derzeit einen freiberuflichen Mitarbeiter, der die nachfolgenden Anforderungen erfüllt: Aufgabenbeschreibung: Aufbau einer Netzwerkmanagement-Plattform für den Betrieb von Teilen an der Kundeninfrastruktur.
Für unseren Kunden, ein international tätiger Technologiekonzern, suchen wir im Rahmen der Arbeitnehmerüberlassung zeitnah einen Ingenieur (m/w/d) FPGA Testautomatisierung am Standort Berlin. Benefits Attraktive Vergütung gemäß GVP Tarif inklusive Urlaubs- und Weihnachtsgeld.
Unser vielseitiger Tech-Stack umfasst PIM, Shop-Management, Checkout und OMS sowie erweiterte Funktionen für Internationalisierung, Omnichannel und die Möglichkeit zum Marktplatz zu werden. Außerdem bieten wir Funktionen für Abonnements, Suche, Promotions und eine rasche Entwicklung des Frontends an – alles kombiniert in einem leistungsstarken, flexiblen Backend. SCAYLE ist Teil der ABOUT YOU Group.
Wir suchen eine/n lösungsorientierte/n Automation Engineer (m/w/d), der unsere internen Prozesse mit intelligenten Automatisierungslösungen verbessert und so unsere Mitarbeiter entlastet.Must-have Erfahrung mit n8n oder vergleichbaren Workflow-Automatisierungstools (Zapier, Make, etc.)
Wir suchen eine/n lösungsorientierte/n Automation Engineer (m/w/d), der unsere internen Prozesse mit intelligenten Automatisierungslösungen verbessert und so unsere Mitarbeiter entlastet.
Um unsere Prozesse, Systeme und Geschäftsmodelle zukunftsfähig zu gestalten, suchen wir dich für unser Digitalisierungsteam. Wir treiben die digitale Transformation im Unternehmen voran - von der Automatisierung interner Abläufe bis hin zu datenbasierte Entscheidungen
Global brands such as Manchester United, Deichmann, Fielmann, s.Oliver, FC Bayern, and Marc O’Polo trust SCAYLE to innovate and grow their businesses.
Du glänzt sowohl im Bereich KI als auch im Software Engineering? Du bist bereit für den nächsten Schritt und suchst einen Ort, an dem du in einer dynamischen und unterstützenden Umgebung weiter wachsen und dich entwickeln kannst? Dann schließe dich uns an und werde Teil unserer Mission!
What you will do Own and evolve the Commerce Cloud’s AWS infrastructure through the application of Infrastructure-as-Code (IaC) principles to ensure scalability, high availability, and cost efficiency Design, implement, and optimize CI/CD pipelines and operational workflows utilizing tools such as GitLab CI, AWS CloudFormation, and Terraform. Establish and enforce comprehensive, high-quality documentation for all infrastructure, operational playbooks, and critical architecture decisions Act as a subject matter expert and trusted advisor, partnering with application development teams to architect and provision infrastructure that meets their specific workload requirements Drive collaborative efforts with GCP Platform Engineers on cross-cloud initiatives and work closely with Information Security Engineers to design and implement security controls and governance policies.
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 Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
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.
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 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.