Technical Data Specialist
Munich Re
Overview
In questa role you drive data delivery and architecture within a fast-paced, evolving setting. You’ll partner with cross-functional teams to connect data strategy with analytics, delivering tangible benefits at scale. You shape solutions across on-prem and cloud environments, using modern data platforms to support underwriting and risk insight. This is a hands-on, leadership-influencing role that values accountability and clear communication while solving complex data challenges.
Responsibilities
- Apply strong technical skills to deliverable work and guide the team to perform effectively.
- Connect data strategy with analytics to generate tangible benefits and high performance.
- Influence and empower team members to execute toward common goals in a fast-paced setting.
- Coordinate multiple tasks and priorities to ensure on-time, accurate output.
- Communicate clearly and concisely in both verbal and written forms; support stakeholders with presentations.
Key requirements
- 10+ years in data delivery, architecture, data modelling, ETL and data production with DevOps principles.
- Extensive hands-on experience with SQL, Python, data integration/ingestion and Databricks, ADF, Notebooks.
- Delta Lake knowledge including medallion architecture and dimension concepts.
- Cloud experience on Microsoft Azure; on-prem and cloud databases such as Oracle and SQL Server.
- Experience with Agile delivery frameworks (Scrum, SAFe) and tools (Jira, AzureDevOps).
- Proven track record delivering solutions with large system integration partners.
- Mass ingestion capabilities, cloud process flows, data quality, and master data management.
- Understanding of data security challenges and tooling (e.g., Databricks).
- Experience migrating data/systems from on-prem to cloud; consulting and collaborative working style.
- Lloyds/Company Market (re)insurance experience a plus.
- strong communication and negotiation
- collaboration and teamwork
- accountability and cross-functional partnering
- SQL
- Python
- Databricks
Reference: WJ-799_28486910