SOAP, REST, OData, CDS, BTP). What makes you stand out You hold a degree in (business) computer science or have a comparable education or training in the IT field (e.g. IT specialist).You have professional experience in application development for SAP systems, ideally with a focus on SD/MM.Preferably, you have already gained experience with S/4HANA and SAP BTP.A passion for new technologies, IT trends, and agile development sets you apart.You have strong analytical and communication skills as well as a service-oriented and self-reliant working style within project teams.Fluent German and good English skills complete your profile.
You assist the Head of Audit in building, operating, and continuously developing the internal audit system of the DKV MOBILITY GROUP.You advise business units on planning and implementing functional requirements as well as key IT projects, while maintaining the independence required for auditing. What makes you stand out You have a degree in computer science, information security, business informatics, or a comparable qualification.You have gained more than 5 years of practical experience in an IT environment (e.g., as IT manager, administrator, project lead, or responsible for implementing IT-related topics).You also have several years of experience in IT-related audits, preferably in an auditing firm, a bank, or a billing company.You possess knowledge of common IT and information security frameworks and/or requirements such as ITIL, Cobit, ISO 27001, BAIT, NIST, or BSI IT baseline protection, as well as SAP audit expertise, Microsoft Active Directory and Azure, Jira, and Apache.You communicate fluently in German and English, both spoken and written.Ideally, you already hold certifications such as CISA, CIA, CISM, or CISSP, or you are willing to obtain them with our support.You are willing to travel to DKV MOBILITY GROUP locations or to our outsourcing partners for on-site audits, demonstrate intercultural competence, and commit to continuous professional development.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.
What makes you stand out Required Qualifications: You hold a degree in Computer Science or a related field and have 3+ years of experience in agile software development, with knowledge of the full engineering lifecycle.You have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers, agentic AI, and other advanced AI solutions, including practical experience in building and deploying such systems.You are familiar with AI cloud platforms such as Azure AI Foundry and/or conversational AI platforms (e.g., Cognigy), have hands-on DevOps skills ideally in the Azure Cloud (ADO), and bring basic knowledge of cloud technologies, preferably Microsoft Azure.You are familiar with programming fundamentals in at least one high‑level language such as Python, Java, or TypeScript, ideally developing microservices using frameworks such as Flask, Django, or Spring (Java).You communicate clearly and effectively in English and German.
As part of our team, you will take on the following responsibilities: You develop and maintain cloud‑based data pipelines and data products specifically for the Finance domain, built on our Snowflake database.You integrate financial and transactional data from various sources into our central Data Platform, optimize ETL processes, and ensure high data quality.You design and build new DataFlows and DataSets for Finance use cases and create as well as manage the corresponding Power BI reports.You collaborate closely with Finance Product Owners, Data Scientists, and Business Units to deliver meaningful analytical data products.You take ownership of data governance for all Finance data products and actively drive their further development.You support the modernization of our Finance data architecture and contribute to the migration towards cloud‑ and big‑data‑based technologies. 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 are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. 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.