WHAT YOU WILL DO Assist resolving issues of minor significance Help to liaise with other internal departments or project teams for completion of project deliverables Apply standard methodologies when creating new programs and applications (developing and coding from specifications) or when maintaining existing ones Assist in customizing Commercial off-the-shelf (COTS) based on pre-determined parameters, and executes customizing tests Document work using the required standards, methods and tools e.g. produce program and system documentation Work with team/ colleagues to ensure plans, processes and activity are aligned to customer needs Actively share knowledge or experience with others Provide additional support when colleagues require time away to attend training/ development programs Convey consistent stated personal values through actions and decisions Apply data analysis and data modeling techniques to establish, modify or maintain a data structure and its associated components Design, code, test, correct, and document simple programs, and assist in the implementation of software which forms part of a properly engineered information or communications system APPLICATION YOU WILL USE: Java and J2EE frameworks, HTML, CSS, JavaScript, WebLogic, Spring, Hibernate and JSF WHAT YOU SHOULD HAVE: If you are highly motivated, creative and desire to start and develop your IT career in a fast-paced environment, you have come to the right place!
You can expect to use your strong design background to broaden your experience across the full development cycle, ensuring continued professional and technical development.
Make an impact: Development of our Customer Relationship Management (CRM) and Supplier Relationship Management (SRM) based on Dynamics 365 OnlineDevelopment of further business applications based on different modular elements of the MS Cloud Stack (Power Apps, Power Automate, Azure etc.)Working with state-of-the-art tools and development methodsCo-determination and design of our development methodology, release processes and agile approachSupport of our development team and management of external developersEffective collaboration with our CRM / SRM team and surrounding projects and product teamsActive design in solution design from the technical requirement to the finished solution What makes you stand out Education: successfully completed education in (business) computer science or a comparable education levelAt least 5 years' experience in the development of .NET, Dynamics, and Azure cloud components (C #, Javascript, DevOps, Visual Studio etc.)
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 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.
DKV is the full‑service provider in the field of eMobility, offering tailor‑made solutions for electric vehicles: from charging infrastructure to planning and design, from consultancy to installation and electricity products. As a Customer Support Representative, you are the coordinator and take ownership of our service delivery.
In this position you will work with applications engineers, product engineers and account managers to design and offer Leybold service and solutions that helps clients supercharge their process efficiencies. This position acts as the service sales liaison between the Leybold factory and the client with the intent to teach companies how to maximize the life cycle of their equipment through means of the VTS Service Ladder.
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.