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Data Engineer(m/w/x)
Designing full-stack investment data solutions with GenAI/ML integration for asset management. Finance industry experience and 3+ years cloud-native architecture required. Hybrid model, flexible hours, relocation support.
Requirements
- University degree in CS, IS, Engineering, ML, Data Science or related
- Minimum 3 years data/software engineering and cloud-native architecture
- Industry experience in finance/investment management
- Relevant experience in RAG and Agentic architecture, GenAI/ML app development
- Minimum 2 years working with agile teams
- Proficiency in Python and ML/GenAI libraries/frameworks
- Cloud and AI expertise (Azure Databricks, Azure Data Lake, SQL, Foundry, Kubernetes)
- Experience with Agile development and DevOps practices
- Well-developed interpersonal skills and excellent English communication
- Collaborative work in global, diverse teams with customer-service focus
- Understanding of financial markets and investment management data
- Ability to work independently and deliver solutions
Tasks
- Design and develop full-stack investment data solutions
- Integrate GenAI and Machine Learning applications
- Drive big data solutions and AI adoption
- Develop investment research and decision support solutions
- Design scalable data platforms for structured and unstructured data
- Develop and manage data pipelines for market and reference data
- Design and engineer schemas for quantitative investment research
- Integrate solutions into AllianzGI’s AI stack
- Contribute to continuous development of AI stack
- Design and build AI-backed solutions to simplify workflows
- Monitor and enhance AI-backed solutions
- Act as a data architect, setting technical design direction
- Ensure data model integrity and compliance
- Work with subject matter experts, architects, and analysts
- Engage with investment teams to capture business requirements
- Gather feedback and resolve issues
- Align backend solutions with evolving business needs
- Support BAU operations, including platform monitoring
- Resolve issues and perform regular health checks
- Stay updated on innovative methods and technologies
- Improve platform efficiency, security, and scalability
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Azure Databricks
- Azure Data Lake
- SQL
- Foundry
- Kubernetes
- Harness
- GitHub
- JFrog
- Jira
- Datadog
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
- Home
- Jobs in Germany
- Data EngineerData Engineer at Allianz Global Investors
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- Allianz Global InvestorsFull-timeWith HomeofficeExperiencedFrankfurt am Main, München
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- Home
- Jobs in Germany
- Data EngineerData Engineer at Allianz Global Investors
Data Engineer(m/w/x)
Designing full-stack investment data solutions with GenAI/ML integration for asset management. Finance industry experience and 3+ years cloud-native architecture required. Hybrid model, flexible hours, relocation support.
Requirements
- University degree in CS, IS, Engineering, ML, Data Science or related
- Minimum 3 years data/software engineering and cloud-native architecture
- Industry experience in finance/investment management
- Relevant experience in RAG and Agentic architecture, GenAI/ML app development
- Minimum 2 years working with agile teams
- Proficiency in Python and ML/GenAI libraries/frameworks
- Cloud and AI expertise (Azure Databricks, Azure Data Lake, SQL, Foundry, Kubernetes)
- Experience with Agile development and DevOps practices
- Well-developed interpersonal skills and excellent English communication
- Collaborative work in global, diverse teams with customer-service focus
- Understanding of financial markets and investment management data
- Ability to work independently and deliver solutions
Tasks
- Design and develop full-stack investment data solutions
- Integrate GenAI and Machine Learning applications
- Drive big data solutions and AI adoption
- Develop investment research and decision support solutions
- Design scalable data platforms for structured and unstructured data
- Develop and manage data pipelines for market and reference data
- Design and engineer schemas for quantitative investment research
- Integrate solutions into AllianzGI’s AI stack
- Contribute to continuous development of AI stack
- Design and build AI-backed solutions to simplify workflows
- Monitor and enhance AI-backed solutions
- Act as a data architect, setting technical design direction
- Ensure data model integrity and compliance
- Work with subject matter experts, architects, and analysts
- Engage with investment teams to capture business requirements
- Gather feedback and resolve issues
- Align backend solutions with evolving business needs
- Support BAU operations, including platform monitoring
- Resolve issues and perform regular health checks
- Stay updated on innovative methods and technologies
- Improve platform efficiency, security, and scalability
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Azure Databricks
- Azure Data Lake
- SQL
- Foundry
- Kubernetes
- Harness
- GitHub
- JFrog
- Jira
- Datadog
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
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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