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?
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?
Your Responsibilities: Lead and execute high‑impact logistics projects aimed at continuously improving and standardizing 10 global warehouses, transportation networks, and repair operations Drive the physical transformation of sites by managing space development, layout optimization, and material‑flow design Implement modern solutions by overseeing the selection and introduction of best‑in‑class storage systems, transportation technologies, and material‑handling equipment Your Qualifications: Completed degree in Business Administration, Supply Chain / Logistics, or a comparable qualification Professional experience in Project Management and Supply Chain / Logistics Hands‑on experience in designing, implementing, and improving warehouse material flows, storage systems, and material‑handling equipment (mandatory) Proven success in leading cross‑functional and transnational project teams within a complex matrix organization (required) Expertise in end‑to‑end project management — from initiation and planning through monitoring, control, and project closing (mandatory) Experience working with Google Workspace Business‑fluent English skills and advanced German language skills Strong communication, interpersonal, and leadership abilities with the capability to influence and collaborate across diverse teams Demonstrated ability to develop compelling business cases, lead milestone/gate reviews, and manage project financials Strong analytical skills Willingness to travel worldwide Wir freuen uns auf Ihre aussagekräftige Bewerbung
This position offers full remote flexibility within Germany, with regular collaboration in a supportive team setup. Your Tasks: Drive the design, implementation, and optimization of SAP HCM/ SuccessFactors processes, especially in the areas of payroll and time management Support and continuously improve existing solutions, including payroll, time management, integrations, and Fiori apps Ensure high-quality 2nd-level support following ITIL standards Depending on experience: lead workstreams or (sub-)projects and manage internal and external stakeholders Expand your knowledge in SAP Fiori and Cloud Platform Integration (CPI) by actively contributing to ongoing projects Your Profile: Degree in (Business) Informatics or comparable education/qualification Several years of relevant experience in SAP HCM consulting – particularly in payroll and time management Expertise in SAP HCM on-premise; knowledge of SAP Fiori and ideally SuccessFactors Experience in interface handling (IDOCs, CPI) is a plus Strong communication and collaboration skills in an international context Fluent in English; German or Spanish skills are a bonus YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
This position offers full remote flexibility within Germany, with regular collaboration in a supportive team setup. Your Tasks: Drive the design, implementation, and optimization of SAP HCM/ SuccessFactors processes, especially in the areas of payroll and time management Support and continuously improve existing solutions, including payroll, time management, integrations, and Fiori apps Ensure high-quality 2nd-level support following ITIL standards Depending on experience: lead workstreams or (sub-)projects and manage internal and external stakeholders Expand your knowledge in SAP Fiori and Cloud Platform Integration (CPI) by actively contributing to ongoing projects Your Profile: Degree in (Business) Informatics or comparable education/qualification Several years of relevant experience in SAP HCM consulting – particularly in payroll and time management Expertise in SAP HCM on-premise; knowledge of SAP Fiori and ideally SuccessFactors Experience in interface handling (IDOCs, CPI) is a plus Strong communication and collaboration skills in an international context Fluent in English; German or Spanish skills are a bonus YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
We are currently looking for a skilled Senior Quality Assurance Engineer (m/f/d) to join the Checkout Unit onsite in Hamburg or Berlin. What you will do: Focus on the design, development, and execution of automated end-to-end tests Manage and prioritize bug reports, keeping their business value in mind Lead regression testing, identify and resolve defects to ensure the stability of high-traffic customer interactions and transactions Analyze complex workflows, data flows, and database interactions to identify potential areas for improvement in test coverage and performance Report bugs and reproduce them throughout the complete bug cycle Coordinate testing efforts to ensure the delivery of quality features Advocate for product quality within cross-functional teams Contribute to ABOUT YOU’s long-term automation strategy in testing Who you are: 4+ years of experience in QA, testing, and debugging REST backend applications, with strong knowledge of HTTP methods, status codes, headers, and error handling Proficient in API validation against OpenAPI/Swagger specifications 4+ years of experience with JavaScript/TypeScript or other OOP languages, using frameworks like Mocha/Playwright, and GitlabCI 2+ years of experience working with relational and NoSQL databases, focusing on integration and data flows Passionate about automation and building maintainable test suites that provide continuous feedback, with strong skills in both exploratory and automated testing Experienced with agile methodologies Excellent communication skills, including fluent written and spoken English for clear collaboration Solid understanding of transaction systems, gateways, customer data, and large-scale database structures Committed to identifying and addressing issues early, ensuring high-quality customer-facing features and services 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 Central Location Flexible Working Hours Professional training Dog-friendly office Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are.
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?
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?
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?
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.
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.