As a Network Design Specialist (m/f/d), you will be part of a global team responsible for creating technical network design documentation for onshore wind farms worldwide.
This role requires a highly experienced biostatistician capable of working independently, representing the Biostatistics function within cross‑functional teams, and delivering high‑quality statistical input throughout study design, execution, and analysis. Key Responsibilities Statistical Leadership & Study Support Serve as the primary statistical lead and main point of contact on the Clinical Trial Team (CTT), representing Biostatistics with confidence and professionalism.Work independently to support clinical teams, providing proactive statistical guidance throughout the study lifecycle.Lead statistical strategy discussions, including endpoint definitions, analysis methods, risk mitigation, and regulatory expectations.
As a Network Design Specialist (m/f/d), you will be part of a global team responsible for creating technical network design documentation for onshore wind farms worldwide.
If you are passionate about designing and implementing complex control solutions in the energy sector, this is the right opportunity for you. Your Responsibilities: Design of BCU-based substation control systems for high voltage direct current (HVDC) systems Implementation of control software using simulation tools and real-time test environments Verification and validation of control solutions in simulated and real-time environments Preparation of design specifications and technical documentation Creation of effort estimations for project planning purposes Clarification of technical requirements within cross-functional project teams Coordination and alignment with customers and suppliers on technical matters Remote support during commissioning of HVDC systems Providing remote service and troubleshooting support for HVDC installations Your Profile: University degree in electrical engineering with a focus on energy technology First professional experience in a relevant field Proficiency in parameterisation of bay control units (BCUs), ideally SIPROTEC 5 devices with DIGSI and CFC (Continuous Flow Chart) Experience in implementing the IEC 61850 standard for substation control and data exchange with higher-level automation and SCADA systems Solid understanding of high voltage and substation technology as well as the design of interlocking schemes and automated control sequences Good knowledge of secondary interfaces of high voltage components such as switching devices, transformers, CTs and VTs Very good English language skills; proficiency in German is an advantageStrong analytical and problem-solving abilities Excellent communication skills in cross-functional and international team environments Structured and detail-oriented working approach Ability to quickly adapt to new technologies and processes High level of initiative and a hands-on mentality Your Benefits: What our client offers: Responsible position in a future-oriented company Creative freedom for sustainable innovations Training opportunities and career prospects We support you on your journey: Above-average pay Permanent employment contract 30 days of annual leave Opportunity to be taken on permanently by the client Employee referral bonus Christmas and holiday bonus Personal support and guidance Does this sound like you?
Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. Do you want to take an active role in changing wind energy infrastructure?
MySQL Python Google BigQuery Gitlab What you will do Conduct in-depth analyses on shop user behavior to uncover actionable insights Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences Provide full-cycle A/B test analytical support to optimize shop performance Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability Design and implement advanced dashboards, enabling self-service analytics across the organization Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making Who you are Advanced proficiency in SQL for complex data analysis and querying large datasets Expertise in e-commerce KPIs and funnel analysis Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus) Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation Strong understanding of customer segmentation and cohort analysis in the e-commerce context Proactive and self-driven, with the ability to work independently and drive projects from conception to completion Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
Das kannst du bei uns MACHEN: Übernimm die technische Leitung des Frontend‑Software‑Engineerings unserer Web‑Plattform – mit Fokus auf Enablement, Orientierung und Coaching im Team.Baue eine zentrale Frontend‑Expertise im Unternehmen auf und präge als fachlicher Nukleus unser zukünftiges Frontend‑Wissensmodell.Trage technische Verantwortung und arbeite zugleich stark hands‑on mit sehr hohem Anteil an Frontend‑Entwicklung.Unterstütze weniger erfahrene Kolleg*innen aktiv durch Mentoring, Pair Programming und konstruktives, wertschätzendes Feedback.Steuere und koordiniere externe Partner*innen und stelle eine gemeinsame technische Ausrichtung sicher.Verantworte die Implementierung über den gesamten Software‑Lebenszyklus – von Architekturentscheidungen über Entwicklung bis hin zu Betrieb und Weiterentwicklung.Analysiere, optimiere und entwickle unsere bestehende Frontend‑Codebase kontinuierlich weiter.Führe Code Reviews durch, etabliere Tests und agier als technischer Sparringpartner auf Augenhöhe.Arbeite eng mit Backend‑, Design‑ und App‑Teams zusammen – insbesondere bei der Weiterentwicklung unserer Component Library, unseres Design Systems sowie OpenAPI‑basierter TypeScript‑Generatoren.Stelle hohe Softwarequalität sicher, u. a. durch Tests, dokumentierte Architekturentscheidungen (z.
The Concrete Towers business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. As an HSE Site Professional (m/f/d), you will play a key role in ensuring health, safety, and environmental standards during the construction and installation of concrete and hybrid towers.
The Concrete Towers business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. As an HSE Site Professional (m/f/d), you will play a key role in ensuring health, safety, and environmental standards during the construction and installation of concrete and hybrid towers.
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions.
As part of our team, you will take on the following responsibilities: You support the Project Management Office (PMO) in introducing project management structures and processes for the project portfolio.You also contribute to expanding the PMO’s range of services, support colleagues in project execution and project administration, and gain detailed insights into managing the project business.You work in day‑to‑day operations as well as on the design and implementation of KPIs, reports, and trainings.You have the opportunity to contribute every day and gain behind‑the‑scenes insights into our company.You quickly take on responsibility as a fully‑fledged team member and receive continuous support from mentors.
As part of our team, you will take on the following responsibilities: You design, build, and operate modern cloud services based on container, PaaS, and SaaS technologies.You work daily with Azure Kubernetes, Azure DevOps, Kafka, the Grafana stack, Instana, ArgoCD, and cloud‑native Postgres databases.You integrate new technologies into the DKV cloud environment and ensure their seamless functional operation.You develop additional software and integration components using agile methods and create clear technical requirements.You ensure a stable, scalable, and secure operation of our cloud infrastructure – including monitoring and recovery in case of failures.You support and train the development teams, optimize existing solutions, and continuously evaluate new technologies.
Clinical and market insight: Collect product performance and user feedback for R&D, MACA, and commercial teams to inform life cycle management, next-generation innovations, clinical study designs, and commercial strategies. Share insights, best practice, and data with national and regional MSL networks. Cross-functional collaboration and influence: Partner with internal cross-functional teams, including MACA, R&D, Regulatory, Marketing and national Market Access, to ensure integration of insights into our strategies.
You are responsible for the conceptual, logical, and structural integrity of our Core Data Model as well as the Gold Layer across Azure, Snowflake, and dbt.You ensure that fragmented data sources are transformed into consistent, reusable, and decision‑relevant data products, actively preventing the platform from drifting into team‑specific, incompatible models.You define and maintain central business objects, canonical dimensions, shared metrics, and facts, ensuring that the Core Data Model serves as a stable, business‑oriented foundation across all domains.You develop modeling standards, naming conventions, layering concepts (Staging → Intermediate → Gold), reuse patterns, and dbt design guidelines, and you ensure their consistent implementation across all teams.You safeguard the semantic consistency of the entire data model, resolve domain conflicts, ensure that identical business terms are modeled only once, and review changes affecting core layers.You act as the technical design authority for model changes in Snowflake/dbt, balancing local requirements with long‑term model coherence, and ensuring that all models remain performant, scalable, maintainable, and of high quality.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.