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Senior Data Engineer - Investment Platforms(m/w/x)
Designing scalable data pipelines and ETL/ELT workflows for active asset management. Production-grade Python and strong SQL skills required. Hybrid model with flexible hours and family support.
Requirements
- Contribution to technical design and collaboration
- University degree in Computer Science, Mathematics, Physics, Engineering or related discipline, or equivalent practical experience
- Developing, deploying, operating production-grade Python solutions
- Strong SQL and data modelling skills
- Building and operating scalable data pipelines and distributed data processing workflows
- Experience with Databricks, Spark, data lakes, cloud data platforms
- Experience with relational databases and modern data storage concepts
- Understanding of backend application design, APIs, integration patterns
- Familiarity with Docker, Kubernetes, modern SDLC/DevOps tooling
- Ability to contribute to technical design and collaborate effectively
- Exposure to AI/GenAI/ML-enabled solutions
- Experience in financial services, asset management, investment data
- Strong written and spoken English skills
- Agile mindset, collaborative working style, high ownership
Tasks
- Design scalable data pipelines
- Build ETL/ELT workflows
- Engineer robust data models
- Develop backend components and APIs
- Contribute to technical design decisions
- Improve existing applications
- Integrate data solutions into AI
- Translate business requirements into technical solutions
- Support platform operations
- Contribute to engineering standards
- Stay informed about relevant technologies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Databricks
- Spark
- Docker
- Kubernetes
- Git
- GitHub
- GitLab
- Jira
Benefits
Flexible Working
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Retirement Plans
- Company pension/savings plans
Family Support
- Family support
Other Benefits
- Relocation assistance
- Mobility solutions
Childcare
- Childcare facilities
Competitive Pay
- Company share purchasing plan
Mental Health Support
- Mental health and wellbeing programs
Company Bike
- Jobrad bike leasing
Public Transport Subsidies
- Subvention Jobticket
Career Advancement
- Career opportunities
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
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Senior Data Engineer - Investment Platforms(m/w/x)
Designing scalable data pipelines and ETL/ELT workflows for active asset management. Production-grade Python and strong SQL skills required. Hybrid model with flexible hours and family support.
Requirements
- Contribution to technical design and collaboration
- University degree in Computer Science, Mathematics, Physics, Engineering or related discipline, or equivalent practical experience
- Developing, deploying, operating production-grade Python solutions
- Strong SQL and data modelling skills
- Building and operating scalable data pipelines and distributed data processing workflows
- Experience with Databricks, Spark, data lakes, cloud data platforms
- Experience with relational databases and modern data storage concepts
- Understanding of backend application design, APIs, integration patterns
- Familiarity with Docker, Kubernetes, modern SDLC/DevOps tooling
- Ability to contribute to technical design and collaborate effectively
- Exposure to AI/GenAI/ML-enabled solutions
- Experience in financial services, asset management, investment data
- Strong written and spoken English skills
- Agile mindset, collaborative working style, high ownership
Tasks
- Design scalable data pipelines
- Build ETL/ELT workflows
- Engineer robust data models
- Develop backend components and APIs
- Contribute to technical design decisions
- Improve existing applications
- Integrate data solutions into AI
- Translate business requirements into technical solutions
- Support platform operations
- Contribute to engineering standards
- Stay informed about relevant technologies
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Databricks
- Spark
- Docker
- Kubernetes
- Git
- GitHub
- GitLab
- Jira
Benefits
Flexible Working
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Retirement Plans
- Company pension/savings plans
Family Support
- Family support
Other Benefits
- Relocation assistance
- Mobility solutions
Childcare
- Childcare facilities
Competitive Pay
- Company share purchasing plan
Mental Health Support
- Mental health and wellbeing programs
Company Bike
- Jobrad bike leasing
Public Transport Subsidies
- Subvention Jobticket
Career Advancement
- Career opportunities
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Allianz Global Investors
Industry
FinancialServices
Description
Allianz Global Investors is a leading global active asset manager focused on long-term value creation and sustainability.
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