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Designing end-to-end data solutions for global reinsurance at Swiss Re. Translating business needs into technical designs and identifying optimization opportunities required. Performance-based compensation, global and location-specific benefits.
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Anforderungen
- Connect technology solutions to business needs
- Work closely with stakeholders
- Design end-to-end solutions
- Technical depth
- Business curiosity
- Understand finance operations
- Translate complex needs into architectural direction
- Partner with engineers, product owners, data specialists, business stakeholders
- Deep understanding of end-to-end Finance data landscape
- Understand data flows into Finance
- Understand data validation and transformation
- Understand calculation processes
- Sound understanding of business processes, data products, platforms, controls, people
- Ground architecture in evidence
- Validate solution designs with real data points
- Explore modern tooling and automation
- Stay close to delivery
- Engage actively with engineers and stakeholders
- Willingness to go deep into detail
- Pragmatic, curious, delivery-minded
- Work at intersection of business, data, technology, engineering
- Comfortable with complexity
- Create clarity for others
- At least 6 years relevant hands-on experience in architecture, solution design or engineering within financial services
- Hands-on experience across software development lifecycle
- Track record of working closely with engineering teams
- Strong data skills
- Understand data models
- Understand data flows
- Understand transformation logic
- Understand data quality issues
- Understand data lineage
- Understand data controls
- Understand data consumption by business processes, reporting, analytics, downstream applications
- Understand complex business and technology landscapes
- Identify important details
- Turn ambiguity into clear direction
- Use diagrams, structured thinking, probing questions, concise documentation
- Explain problems, options, trade-offs, recommendations
- Move between strategic architectural thinking and detailed solution design
- Drop into data flows, transformation logic, interfaces, controls, implementation details
- Experience applying AI tooling effectively, accurately, appropriately
- Excellent written and spoken English
- Communicate complex topics clearly and effectively across technical and non-technical audiences
- Bachelor’s degree or higher in Computer Science, Software Engineering, or related technical discipline
- Experience with Apache Spark, Python, SQL and Databricks
- Experience working with Microsoft Azure
- Experience integrating to and from SAP financial systems
Aufgaben
- Develop and maintain end-to-end architectural understanding
- Identify optimization opportunities in data landscape
- Translate business and technology needs into solution designs
- Collaborate with engineering teams to shape solutions
- Work with product owners to understand finance processes
- Design scalable, resilient, and governed data solutions
- Assess solution options and make clear recommendations
- Identify and communicate dependencies and risks
- Promote modern engineering and architecture practices
- Validate solutions using real data and feedback
- Bridge business, architecture, product, and engineering teams
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Performance-based variable compensation
- Global benefits
- Location-specific benefits
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Swiss Re erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Swiss ReÜber das Unternehmen
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient.
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