Allianz Global Investors
Senior Data Engineer - Systematic Investment Platforms(m/w/x)
Full-timeWith HomeofficeSenior
Frankfurt am Main, München
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ALAllianz Global Investors
Senior Data Engineer - Investment Platforms(m/w/x)
Frankfurt am Main, München
Full-timeWith Home OfficeSenior
Nejo AI Summary
Designing scalable data pipelines for investment research, handling structured and unstructured data. 5+ years data engineering experience required. Hybrid model, flexible hours, relocation support.
Requirements
- 5+ years data engineering, backend engineering, or data platform engineering
- University degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience
- Strong hands-on Python development, deployment, and operation
- Strong SQL and data modeling skills
- Proven experience building and operating scalable data pipelines and distributed data processing workflows
- Hands-on experience with Databricks, Spark, data lakes, and cloud platforms
- Experience with relational databases and modern data storage concepts
- Good understanding of backend application design, APIs, and integration patterns
- Familiarity with Docker, Kubernetes, Git, GitHub/GitLab, Jira, and modern SDLC/DevOps tooling
- Ability to contribute to technical design and collaborate across teams
- Exposure to AI/GenAI/ML-enabled solutions is an advantage
- Experience in financial services, asset management, or investment data is a plus
- Strong written and spoken English skills
- Agile mindset, collaborative working style, and high ownership
Tasks
- Design scalable data pipelines
- Build data pipelines for investment research
- Optimize ETL/ELT workflows
- Handle structured and unstructured data
- Engineer robust data models
- Support quantitative research
- Build backend components
- Maintain APIs for data access
- Contribute to technical design decisions
- Ensure scalability and performance
- Maintain security and regulatory compliance
- Improve existing applications
- Enhance pipeline stability
- Modernize codebases
- Integrate data solutions into AI
- Support machine learning use-cases
- Collaborate with investment teams
- Translate business requirements into technical solutions
- Support platform operations
- Monitor and resolve issues
- Contribute to engineering standards
- Follow best practices
- Stay informed about relevant technologies
- Track market developments
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
Other Benefits
- Relocation support
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 within Allianz Group
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Allianz Global Investors and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ALAllianz Global Investors
Senior Data Engineer - Investment Platforms(m/w/x)
Frankfurt am Main, München
Full-timeWith Home OfficeSenior
Nejo AI Summary
Designing scalable data pipelines for investment research, handling structured and unstructured data. 5+ years data engineering experience required. Hybrid model, flexible hours, relocation support.
Requirements
- 5+ years data engineering, backend engineering, or data platform engineering
- University degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience
- Strong hands-on Python development, deployment, and operation
- Strong SQL and data modeling skills
- Proven experience building and operating scalable data pipelines and distributed data processing workflows
- Hands-on experience with Databricks, Spark, data lakes, and cloud platforms
- Experience with relational databases and modern data storage concepts
- Good understanding of backend application design, APIs, and integration patterns
- Familiarity with Docker, Kubernetes, Git, GitHub/GitLab, Jira, and modern SDLC/DevOps tooling
- Ability to contribute to technical design and collaborate across teams
- Exposure to AI/GenAI/ML-enabled solutions is an advantage
- Experience in financial services, asset management, or investment data is a plus
- Strong written and spoken English skills
- Agile mindset, collaborative working style, and high ownership
Tasks
- Design scalable data pipelines
- Build data pipelines for investment research
- Optimize ETL/ELT workflows
- Handle structured and unstructured data
- Engineer robust data models
- Support quantitative research
- Build backend components
- Maintain APIs for data access
- Contribute to technical design decisions
- Ensure scalability and performance
- Maintain security and regulatory compliance
- Improve existing applications
- Enhance pipeline stability
- Modernize codebases
- Integrate data solutions into AI
- Support machine learning use-cases
- Collaborate with investment teams
- Translate business requirements into technical solutions
- Support platform operations
- Monitor and resolve issues
- Contribute to engineering standards
- Follow best practices
- Stay informed about relevant technologies
- Track market developments
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
Other Benefits
- Relocation support
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 within Allianz Group
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Allianz Global Investors and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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.
Not a perfect match?
- Allianz Global Investors
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