Work location: Germany (on-site rotation system) The Concrete Towers business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. As a Quality Technician SITE (m/f/d), you will play a key role in ensuring quality standards during the construction and installation of concrete towers.
Work location: Germany (on-site rotation system) The Concrete Towers business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. As a Quality Technician SITE (m/f/d) , you will play a key role in ensuring quality standards during the construction and installation of concrete towers.
As part of our team, you will take on the following responsibilities: You operate, monitor, and continuously develop our network and security infrastructure.You configure network and security components and take responsibility for troubleshooting, with a focus on Zscaler, Cisco, Cisco Meraki, and Fortinet FortiGate.You actively contribute to the design and evolution of our Zero Trust network architecture, embedded in an overarching strategic security program.You independently implement security policies as well as network and security projects.You document network topologies, processes, and technical concepts in a clear, structured, and comprehensible manner.You work closely with internal departments and external partners.
Work location: Germany (on-site rotation system) Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. As a BoP Civil Site Supervisor (m/f/d), you will play a key role in supervising civil works and ensuring compliance with safety and quality standards.
Work location: Germany (on-site rotation system) Concrete Tower's business unit is dedicated to the design, manufacturing, and installation of concrete towers for wind turbines. As a BoP Civil Site Supervisor (m/f/d) , you will play a key role in supervising civil works and ensuring compliance with safety and quality standards.
As part of our team, you will take on the following responsibilities: You work in an innovative and rapidly growing environment, using your strong communication skills to generate business value from data.You collaborate with your team and business partners in an agile setup to develop data‑driven products that address business challenges — including building data pipelines as well as work related to product, reporting, and analytics.You help design and maintain a scalable, cloud‑based data landscape that creates a new foundation for how DKV handles data.You prepare and present your results in a clear and engaging way for your business partners.You are open to new approaches and continuously refine your solutions to achieve better performance, quality, and cost efficiency.
Become part of our diverse, dedicated and unique team! What you can expect In this role, you will design, develop, and deploy RPA solutions to automate business processes. The ideal candidate will have experience with RPA tools like UiPath, Automation Anywhere, or Blue Prism and will possess a strong understanding of business process analysis, solution design, and automation best practices.
As part of our team, you will take on the following responsibilities: You take on strategic responsibility for steering and further developing national and international post‑merger integration programs, aligned with group-wide integration and governance standards.You design and define the Target Operating Model (TOM) and develop sustainable, cross‑company integration strategies to ensure a successful organizational merger.You lead complex, multinational PMI projects and coordinate all involved departments, business units, and functional stakeholders.You implement the integration strategy, derive clear recommendations for action, and ensure target achievement together with the business units and top management.You act as an important sparring partner for internal stakeholders on PMI and transformation topics and advise the executive management on integration risks, synergy potentials, and organizational impacts.You further develop PMI concepts, governance structures, methods, tools, and best practices, and establish them across the group.You build a KPI‑based tracking and reporting framework for the post‑merger integration (PMI) process and align it closely with management.
In addition, you operate and optimize observability solutions for Azure resources, Kafka, and integration applications, create dashboards following best practices, and implement alerting as well as automated remediation mechanisms. You design and implement operational concepts for Azure resources, Confluent Cloud, and integration projects and consistently apply Infrastructure‑as‑Code, for example using Terraform.
As part of our team, you will take on the following responsibilities: You analyze, design, and develop integrations in accordance with established standards and patterns, working closely with cross‑functional teams.You create technical specifications, data models, as well as operational and integration concepts.You advise various teams on efficient integration solutions and assess the associated effort and benefits.You take responsibility for the entire lifecycle of an integration, including design, mock, development and testing, UAT, go‑live, hypercare, and troubleshooting.You actively contribute to the further development of integration standards and patterns in order to increase the reusability of components.You ensure the quality of integration components, for example through code reviews, technical exchange with other developers, and the continuous improvement of internal development standards.You optimize the performance of existing integration solutions while keeping stability and scalability in focus.
What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
As part of our team, you will take on the following responsibilities: You drive the adoption of AI across the entire organization and ensure that it delivers measurable business value.You empower business units through role‑based trainings, awareness sessions, demos, and open office hours focused on the safe and effective use of AI.You identify high‑value AI use cases by working closely with teams and gaining a deep understanding of their processes, tasks, and challenges.You design and define suitable AI solutions for the identified use cases.You collaborate closely with the AI team, other AI consultants, and technical DKV teams to implement these solutions.You use low‑code and no‑code platforms to efficiently deliver AI‑powered applications to the business units.
What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
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.
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.