Ihre Aufgaben
1. Define the data structure and quality for processing of structured data
2. Align requirements of data pipelines for structured data with Munich RE IT
3. Develop data cubes for insight generation
4. Ensure compatibility between structured data and (Gen)AI model requirements
5. Develop and maintain high-quality documentation of data sources, data flows, and data assets to facilitate knowledge sharing and collaboration across the organization
6. Work closely with business stakeholders, data scientists, engineers, and other teams to understand data requirements, provide data support, and identify opportunities for data-driven innovation
7. Stay up-to-date with emerging trends, technologies, and methodologies in data management, AI, and ML, and apply this knowledge to continuously improve data enabler services and capabilities
Ihr Profil
8. Master’s degree in computer science or a related field
9. Several years of experience with working with traditional AI or GenAI solutions
10. 3+ years of working experience in data engineering
11. Proficiency in data wrangling, data pipeline mgmt., and data quality frameworks/best practices
12. Expertise in programming languages (e.g., Python, C++), query languages (e.g., SQL), and familiarity with big data tools (e.g., Apache Spark) and cloud platforms (e.g., Azure)
13. Experience working with un-/structured data (ideally both) to ensure compatibility with model requirements, e.g.: Structured data: Experience in creating data models, -cubes, and relationship mapping between datasets Unstructured data: Skills in transforming data into vector embeddings and feature tables, proficiency in using tools for data annotation and metadata tagging (e.g., Dataloop AI, AWS SageMaker)
14. Very good communication, collaboration, and stakeholder management skills
15. Ability to work in a fast-paced environment, prioritize tasks, and meet deadlines
16. Business proficiency in English (C1) and German (C1) are required.
Unser Angebot
17. Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation
18. Asset Accumulation & Retirement Planning: Company pension system & employee savings plan
19. Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access
20. Health: Comprehensive company doctor services, Urban Sports cooperation
21. Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours
22. Other: Daily free lunch in our cafeteria, Free hot drinks & water, "Deutschland Ticket Job" subsidy, Events, Underground parking garage with e-charging infrastructure & much more!
Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points.
MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees. Regardless of gender. So if we use the masculine form of personal designations, this is purely for the sake of readability. Applicants with disabilities will be given preferential consideration if they are otherwise essentially equally qualified. {"_attributes":{"title":"Kontakt:"}}