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. Nice to have Experience in Web Development DevOps experience (e.g.
As part of our team, you will take on the following responsibilities: You are responsible for designing and conducting IT-related audit reviews within the areas and companies of the DKV MOBILITY GROUP, ensuring compliance with internal and external information security requirements and proper operations.You also design and carry out project-related audits and special audits.You prepare meaningful audit reports, evaluate findings, and monitor the implementation of agreed measures.You support the Head of Audit in creating risk-based annual and multi-year audit plans in accordance with the DKV MOBILITY GROUP audit guidelines.
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 you can expect You take on the functional and disciplinary responsibility for all FTEs in the Sales Data Hub within the federated data setup, including Data Engineers, Data Scientists, Data Governance roles and Product Owners Data.You define, design, develop, and operate cloud‑based data products for the Sales, Marketing, and Customer Service business units.You are responsible for the methodological integration of data assets and data products.You manage the Sales Data Hub operationally and further develop it as a specialized unit for data‑driven solutions in Sales, Marketing, and Customer Service.You are responsible for the further development and ongoing maintenance of all sales‑related models based on feedback and requirements from the sales organization.You lead projects related to planning, expanding, and organizing new and existing products in collaboration with the relevant business units and external partners.You assume technical responsibility for data products developed by or for the Sales, Marketing, and Customer Service areas within the Data Intelligence & Analytics team.You drive the continuous expansion, professionalization, and organizational development of the Sales Data Hub within the existing governance and organizational framework.
You are experienced with analytics tools and testing tools and have know‑how in personalization and journey design. You bring service design experience across system and app boundaries and are familiar with product data structures. You have excellent language skills in German and English.
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.
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.
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.