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Senior Data Solution Engineer(m/w/x)
Architecting business data marts in Snowflake, developing dbt models, and designing Power BI semantic layers for public market investment data. Finance industry background and cloud migration experience expected. Work-from-home options, flexible hours, home office allowance.
Requirements
- Experience in data solution or analytics engineering
- Industry experience in finance or similar
- Extensive experience with Snowflake and dbt
- Understanding of CI/CD pipelines
- Experience migrating on-prem systems to cloud
- Experience in agile or scrum environments
- Fluency in English and German skills
Tasks
- Architect business data marts in Snowflake
- Lead development of production-grade dbt models
- Set standards for modeling, documentation, and testing
- Develop and improve data vault 2.0 architecture
- Design the semantic layer through Power BI
- Implement and design Power BI reports
- Optimize performance and cost across all tools
- Collaborate with engineers and business stakeholders
- Incorporate SLAs and processes into designs
- Perform root-cause analysis and incident resolution
- Maintain clear technical documentation
- Coach and mentor team peers
- Evolve CI/CD for dbt and BI
- Implement end-to-end security and governance
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Snowflake
- dbt
- Power BI
- SQL
- Azure Data Factory
- Python
- Azure DevOps
Benefits
Modern Office
- Modern working conditions
Flexible Working
- Work-from-home options
- Flexible hours
Additional Allowances
- Home office allowance
Modern Equipment
- Latest technology equipment
Informal Culture
- Diverse culture
Learning & Development
- Internal and external training
- German language courses
- English language courses
Competitive Pay
- Investment program participation
Other Benefits
- LGT banking products
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Senior Data Solution Engineer(m/w/x)
Architecting business data marts in Snowflake, developing dbt models, and designing Power BI semantic layers for public market investment data. Finance industry background and cloud migration experience expected. Work-from-home options, flexible hours, home office allowance.
Requirements
- Experience in data solution or analytics engineering
- Industry experience in finance or similar
- Extensive experience with Snowflake and dbt
- Understanding of CI/CD pipelines
- Experience migrating on-prem systems to cloud
- Experience in agile or scrum environments
- Fluency in English and German skills
Tasks
- Architect business data marts in Snowflake
- Lead development of production-grade dbt models
- Set standards for modeling, documentation, and testing
- Develop and improve data vault 2.0 architecture
- Design the semantic layer through Power BI
- Implement and design Power BI reports
- Optimize performance and cost across all tools
- Collaborate with engineers and business stakeholders
- Incorporate SLAs and processes into designs
- Perform root-cause analysis and incident resolution
- Maintain clear technical documentation
- Coach and mentor team peers
- Evolve CI/CD for dbt and BI
- Implement end-to-end security and governance
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Snowflake
- dbt
- Power BI
- SQL
- Azure Data Factory
- Python
- Azure DevOps
Benefits
Modern Office
- Modern working conditions
Flexible Working
- Work-from-home options
- Flexible hours
Additional Allowances
- Home office allowance
Modern Equipment
- Latest technology equipment
Informal Culture
- Diverse culture
Learning & Development
- Internal and external training
- German language courses
- English language courses
Competitive Pay
- Investment program participation
Other Benefits
- LGT banking products
About the Company
LGT Capital Partners AG, Pfaeffikon
Industry
FinancialServices
Description
The company focuses on investment opportunities in public markets associated with private equity.
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