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.
Your Responsibilities Act as the main contact for all AutoCAD-related topics within the internal team Communicate continuously with development teams to identify new requirements and features Design, introduce, and integrate new functions into the engineering design tool architecture Develop and implement new modules and features, including testing and documentation Support development and configuration in the AutoCAD environment Provide technical support and guidance to users regarding application functionality Your Qualifications Degree in mechanical engineering, computer science, mathematics, electrical engineering, physics, or a comparable field Several years of professional experience as an AutoCAD Application Specialist or Developer Extensive experience working in agile development teams Very good knowledge of Autodesk products, especially AutoCAD and related products Experience in developing CAD interfaces (e.g.
Work in an international, multicultural environment alongside leading engineering experts, where innovation meets precision and sustainability. This role offers you the opportunity to develop deep technical expertise in item designation and asset management while collaborating with global teams, customers, and partners on mission-critical projects that shape the energy transition.
Your tasks: Leading the facilitation of the risk management process ensuring risk data are kept up to date according to ISO31000:2018 standards Engaging project teams proactively in risk management requirements and establishing a risk management culture Developing Risk Management Plans, maintaining risk registers, and preparing risk reports and analyses to support decision making Automating and increasing efficiency in risk management processes, tools, and templates Leading risk workshops with project teams, partners, and clients Integrating Quantitative Risk Analysis (QRA) methodology for Cost and Schedule, helping management interpret results and make decisions Ensuring consistency of approach and knowledge sharing across projects Your qualification: University degree in Engineering, Project Management, Statistics, Economics, Business Management, or related fieldProven experience in large engineering projects and consultancy environments with expertise in designing and leading risk management frameworksExpertise in Quantitative Cost and Schedule Risk Analysis (QCSRA) and proficiency with industry tools (@risk, Safran, ARM, Xactium)Mastery of MS Office tools and strong analytical skills to interpret complex technical informationExcellent project management, team collaboration, and communication skills in English; German is an advantage We offer you: A permanent employment contract Competitive remuneration Flexible working hours and home office options Opportunities for professional development and training Show us what drives and motivates youapply now and become part of our inspiring corporate culture!
Im Bereich Health System Services (HSS) verantworten wir Lösungen und Services für zentrale Akteure des deutschen Gesundheitswesens – von Krankenkassen über Kliniken bis hin zur individuellen Arztpraxis. Zur weiteren Stärkung unseres Portfolios suchen wir einen Technical Sales Manager (m/w/d) mit starkem fachlichem Verständnis, ausgeprägter Kundenorientierung und Marktkenntnis im deutschen Gesundheitswesen.
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.
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 we offer Passion, a sense of responsibility, mutual appreciation, and respect as corner stones of our corporate culture An exciting job with the premier manufacturer of recycled plastic pallets and large containers Dedication and joy in our day-to-day work Responsibility and space for creative ideas Secure long-term employment Individual, international development opportunities with interesting career prospects Attractive compensation package Modern technical equipment We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants as well as our employees – regardless of race, gender, age, religion and beliefs, sexual orientation and gender identity, disability, cultural, ethnic or national origins.
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.
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.
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 communicator: You can communicate transparently, honestly, and effectively with both technical and non-technical stakeholders (e.g. Product, Design). Team player: You actively share knowledge, inspire other team members, and aim to fulfill team goals.
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.