Data Architect designing and developing end - to - end data pipelines for actionable insights at Swiss Re. Collaborating with stakeholders to deliver scalable, efficient data solutions.
About the role
- Lead Data Engineer managing data architectures and pipelines for LUZA Group. Oversee end-to-end project delivery while promoting best engineering practices.
Responsibilities
- Design and implement scalable, secure, and resilient data architectures (on-prem, cloud, or hybrid)
- Manage the full lifecycle of data projects, from requirements gathering to delivery and maintenance
- Develop and optimize ETL processes for handling large volumes of structured and unstructured data
- Maintain data pipelines and oversee ingestion processes across multiple platforms
- Promote best practices in data engineering, including version control, automated testing, CI/CD, and monitoring
- Collaborate with Data Governance, Analytics, and AI teams to ensure data consistency and usability
- Provide hands-on expertise in ETL development, pipeline maintenance, and data ingestion using Azure Data Lake and Databricks
- Promote agile and DevOps practices within the team
Requirements
- Minimum of 10 years' experience in Data Engineering
- Experience leading multidisciplinary teams
- Experience in end-to-end project delivery, from requirements gathering to deployment
- Strong communication skills
- Familiarity with emerging Big Data technologies
- Experience in designing data architectures
- Ability to promote agile and DevOps practices
Benefits
- Important: Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based. Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted. #VisionaryFuture - Build the future, join our living ecosystem!
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Degree requirement
No Education Requirement
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