Opti-Wohnwelt Föst GmbH & Co KG sucht in eine/n E-Commerce - Technical Specialist (m/w/d) (ID-Nummer: 13714782)
E-Commerce - Technical Specialist (m/w/d) in Niederlauer Für die Betreuung unseres Magento-Shops, unserer Website und unserer Online-Marketing-Systeme suchen wir einen technisch versierten E-Commerce Specialist (m/w/d).
As a Technical Account Manager (TAM) at SCAYLE, you will be the strategic and technical point of contact for a portfolio of 5-10 enterprise E-Commerce SaaS customers.
Who you are 5+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE), with a significant focus on cloud infrastructure Fluency in scripting languages (e.g., Python, Go, Bash) for system automation, tooling development, and operational tasks Deep expertise in managing and scaling production workloads within a major public cloud provider (e.g., AWS, Azure, or GCP), including strong familiarity with core services like Compute, Networking, Identity & Access Management (IAM), and Managed Database Proven mastery of Infrastructure-as-Code (IaC) using AWS CloudFormation and/or Terraform in complex, multi-account environments Demonstrated experience designing, implementing, and maintaining robust CI/CD pipelines Solid knowledge of monitoring and logging solutions Excellent communication and documentation skills, with the ability to articulate complex technical issues to technical stakeholders Benefits Hybrid working 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 Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
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.
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.
What you will do Perform high-quality manual testing across multiple client e-commerce projects (Desktop, Mobile Web and Tablet), covering the complete customer journey from discovery to checkout Collaborate closely with frontend developers and project teams to understand client requirements and develop tailored testing strategies for each implementation Oversee quality across diverse client implementations while ensuring consistent excellence and optimal user experiences Take ownership of bug reports and tickets from clients, internal stakeholders, and end-users, prioritizing them based on business impact and project timelines Contribute to the development and evolution of SCAYLE Agency’s testing framework and automated testing strategy across client projects Act as a quality advocate within cross-functional agency teams, promoting best practices and driving continuous improvement across multiple client engagements Coordinate testing efforts across parallel client projects to ensure successful delivery of high-quality features within agency timelines Support holistic testing approaches across the full technology stack, understanding how frontend integrations connect with SCAYLE’s backend systems and third-party services Adapt testing strategies to accommodate varying client requirements, brand guidelines, and technical specifications Who you are You have minimum of 5 years of experience in quality assurance, testing, and debugging of frontend applications, preferably in agency or client-facing environments Proficient in manual testing techniques, including exploratory and destructive testing, as well as automated testing methodologies Familiarity with project management and ticketing tools such as Jira and Confluence for effective collaboration across agency teams and client stakeholders Strong knowledge and experience with testing tools, particularly TestRail, for efficient test management and comprehensive reporting Ability to quickly understand complex, custom-built e-commerce implementations and adapt testing approaches to different client architectures Web technologies: Solid understanding of HTML, CSS, JavaScript, browser developer tools, and REST APIs Experience working with agile methodologies in fast-paced agency environments with multiple concurrent projects Passion for delivering innovative, client-specific features quickly while maintaining the high reliability standards expected by premium brands Detail-oriented approach with strong focus on test case design, business value, brand consistency, and exceptional user experience Excellent communication skills for working directly with high-profile clients and articulating technical issues clearly Nice to have Experience with CI/CD pipelines (e.g., GitLab CI) and integrating automated tests into deployment workflows Knowledge of web performance testing (e.g., Lighthouse, Web Vitals) and optimization for enterprise e-commerce Familiarity with web accessibility (a11y) standards and testing, particularly for compliance-focused clients Previous experience in an agency environment or working on multiple concurrent client projects Understanding of SCAYLE’s modular architecture, Storefront SDKs, and Feature Packages Experience testing headless commerce implementations and API integrations Knowledge of international e-commerce requirements (multi-language, multi-currency, regional regulations) Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses 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 AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF SCAYLE.
You ensure performance, security, and maintainability while guiding the team through complex technical decisions. This is a senior, hands-on leadership role requiring 10+ years of experience in building and operating scalable web applications in production environments.
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 Technical Business Analyst (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.
Opf. auszuüben Dein neuer Job: SEO-Strategie - Du verantwortest die strategische und operative Weiterentwicklung der SEO-Strategie mit Fokus auf Technical SEO für unseren E-Commerce-Shop.Technical SEO - Du analysierst und optimierst Crawling, Indexierung, interne Verlinkung, strukturierte Daten und Core Web Vitals.Tracking Setup - Du konzipierst und betreust Tracking-Setups mit Google Tag Manager, GA4 und Data Layer und stellst eine saubere Datenerfassung sicher.SEO-Analysen - Du identifizierst Wachstumspotenziale durch SEO-Analysen, KPI-Monitoring und Wettbewerbsanalysen.Stakeholder Management - Du arbeitest eng mit Development, Analytics, Content-Teams und Agenturen zusammen und setzt technische SEO- und Tracking-Anforderungen um.
As part of SCAYLE’s Add-on Unit, we build modular, plug-and-play e-commerce solutions that extend the SCAYLE commerce engine and enable additional capabilities for our tenants. As a Senior Frontend Engineer, you are a key technical contributor within a team of 5–6 engineers. You architect and implement scalable micro-frontend features using Vue.js 3 and Vite, integrating complex add-ons directly into the SCAYLE core panel via SingleSpa.
JavaScript Python redis PostgreSQL What you will do Design and deploy innovative features for the Seller Center to enhance the online retail experience Collaborate with product managers, UI/UX designers, and fellow engineers to brainstorm and create effective solutions Utilize the SCAYLE platform to manage product and order information efficiently Enhance application performance through strategic SQL Query optimizations Engage in code reviews to uphold high standards of code quality and foster ongoing improvement Offer technical support, and troubleshooting issues to ensure consistent service for users Explore AI-supported features to streamline workflow processes Who you are Minimum of 5 years experience as a Fullstack Engineer Experience with Django 5.
Responsibilities Lead end-to-end implementation and migration projects for enterprise clients Define and document target architectures, integrating SCAYLE with client systems (ERP, PIM, CRM) Provide guidance on SCAYLE platform capabilities, APIs, and composable commerce Translate business requirements into technical specifications and actionable work packages Collaborate with external partners to ensure delivery quality and standards compliance Review and validate integrations: REST APIs, webhooks, and asynchronous data flows Support cross-functional teams in resolving technical blockers Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 5+ years in enterprise ecommerce architecture, digital consulting, or technical lead roles Proven experience leading large-scale SaaS or MACH replatforming projects Deep knowledge of e-commerce architectures: Storefronts, OMS, PIM, CMS, ERP ntegrations Expert in MACH principles (Microservices, API-first, Cloud-native, Headless) Hands-on experience with REST APIs, webhooks, and event-driven architectures Strong problem-solving, consultative mindset, and clear communication skills YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
We value diverse experiences and perspectives and are excited to see what you bring to the role. B.S. degree in Engineering, other technical degree, marketing or business with technical aptitudeEntry Level, 0-2 years of technical experience preferredSAP/ CRM experience is a plusExcellent oral & written communication skillsWorking knowledge of MS Office ProductsStrong critical thinking skillsGreat attention to detail and problem-solving abilitiesPhenomenal teammate who is flexible and adaptableA self-starter with strong work ethicFluent in Spanish is a plusValid driver’s licenseIn return, we offer We believe there is always a better way.
We value diverse experiences and perspectives and are excited to see what you bring to the role. B.S. degree in Engineering, other technical degree, marketing or business with technical aptitudeEntry Level, 0-2 years of technical experience preferredSAP/ CRM experience is a plusExcellent oral & written communication skillsWorking knowledge of MS Office ProductsStrong critical thinking skillsGreat attention to detail and problem-solving abilitiesPhenomenal teammate who is flexible and adaptableA self-starter with strong work ethicFluent in Spanish is a plusValid driver’s licenseIn return, we offer We believe there is always a better way.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
Mentor and coach Frontend Developers, QA Engineers, helping them grow their technical skills, understand system architecture, and advance their careers. Act as the key technical partner to the Teamlead Product to align engineering effort with business goals, product vision, and user experience requirements to share a joint vision between product and tech.
Shape the roadmap: Contribute to needs analysis, project planning, and controlling activities within our customer base. What you bring A degree in a technical field — or comparable professional experience; a background in mathematics is a strong plus. Hands-on experience with Python as your primary tech stack for AI and data-driven solutions.
Stellenbeschreibung Gestalte die Zukunft der Kontraktlogistik mit uns. Als Technical Facility Manager/ Technical Project Manager Real Estate & Construction (m/w/d) legst du den technischen Grundstein für neue Logistikstandorte von ID Logistics – von der ersten Prüfung einer Immobilie bis zur erfolgreichen Übergabe an den operativen Betrieb.
Work data-driven, based on reports and analyses, to derive actions oriented toward customer needs Manage and communicate with all relevant stakeholders Understand stakeholder demands, needs, and issues – translate them into actionable & feasible product requirements and build scalable tech solutions Triaging operative issues, identifying technical dependencies, and evaluating business impact Lead cross-team projects and collaborate closely with other tech teams to execute end-to-end solutions Who you are Master’s degree or equivalent in a relevant field 7–10 years of experience in product management for tech products within software development, focused on backend systems Proven expertise in agile methodologies and collaboration with developers, data scientists, and QA managers Strong understanding of technology, business processes, and functional dependencies Hands-on experience with e-commerce systems, ideally in retail Skilled in IT project management and leading cross-functional initiatives At least 2 years of team leadership experience Analytical, detail-oriented, and customer-focused with a proactive mindset Exceptional communication skills in English, adaptable to diverse perspectives Comfortable in international work environments, with a focus on efficiency and solutions 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 Remote AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU.
You manage the backlog, prioritize based on value, and translate epics and features into user stories including clear acceptance criteria.You ensure Definition of Ready and Definition of Done, orchestrate refinement sessions, manage dependencies and testability, and thereby enable efficient, low‑risk delivery.You ensure that requirements contribute directly to customer value, conversion, checkout efficiency, and overall KPI impact.You coordinate deliveries with internal and external development teams (without coding yourself) and ensure high implementation quality.You support the release and quality concept (regression, functional, end‑to‑end testing) and drive the further development of test automation and stable releases across connected systems.You provide management‑level reporting on status, risks, forecasts, and dependencies (e.g. quarterly, depending on governance).You systematically identify growth opportunities, collaborate closely with relevant stakeholders, bridge technical and business perspectives, and actively contribute to further professionalizing and scaling our webshop. What makes you stand out You have several years of experience as a Product Owner, (Digital) Product Manager, Business Analyst, or in a comparable role within an eCommerce or platform environment.You have a strong understanding of Agile/Scrum, refinement, sprint planning, prioritization, and stakeholder management, and are experienced in translating complex requirements into clear, testable user stories.You have a strong interest in technical concepts and are able to understand and structure system landscapes, interfaces, and data flows.Ideally, you have experience with Adobe Commerce (Magento) or comparable eCommerce platforms.Experience working with downstream systems such as CRM (e.g.
What you will do Technical Authority: Define backend architecture standards, hosting strategies, and binding technical directions across all agency projects.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
You ensure that customers see the most relevant products in the right order – balancing customer needs, business goals, and technical feasibility. We work with over 1 million real-time API calls per hour and a huge amount of data to deliver highly performant and intelligent sorting mechanisms to millions of users.
. --------------------------------------------- Senior Data Scientist Data Science & Advanced Analytics Frankfurt, Germany The Senior Data Scientist is responsible for designing, deploying and continuously optimizing scalable ML solutions that translate business requirements into measurable impact across EMEA markets. The position combines technical execution with business alignment, ensuring solutions remain adaptable to evolving commercial needs while maintaining architecture consistency and standardization.