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Data Engineer(m/w/x)
Designing scalable data platforms for investment data, integrating market/alternative data pipelines, and building AI-backed solutions for investment workflows at a global asset manager. RAG and GenAI development experience required. Flexible work arrangements.
Requirements
- University degree in relevant technical field
- Experience in data and software engineering
- Ideally industry experience in finance
- Experience in RAG and GenAI development
- Experience working with agile teams
- Proficiency in Python and ML frameworks
- Cloud and AI expertise
- Experience with DevOps practices and tools
- Interpersonal skills and excellent English communication
- Collaborative ability in diverse team environments
- Interest in learning financial market notions
- Ability to work independently and motivation
Tasks
- Design scalable data platforms for structured and unstructured investment data
- Develop and manage pipelines for market and alternative data integration
- Engineer data schemas for quantitative investment research
- Integrate data solutions into the company's AI stack
- Build and monitor AI-backed solutions to simplify investment workflows
- Set technical direction for data model integrity and architecture
- Ensure compliance with performance, security, and regulatory requirements
- Collaborate with subject matter experts, architects, and governance teams
- Engage with investment teams to capture business and data requirements
- Align backend solutions with evolving business needs and feedback
- Support platform monitoring, issue resolution, and regular health checks
- Research innovative technologies to improve platform scalability and security
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
- Hybrid working
- Flexible work arrangements
- Flexible working hours
Retirement Plans
- Company pension plans
- Savings plans
Other Benefits
- Relocation support
Childcare
- Childcare facilities
Competitive Pay
- Company share purchasing plan
Mental Health Support
- Mental health programs
Healthcare & Fitness
- Wellbeing programs
Company Bike
- Jobrad bike leasing
Public Transport Subsidies
- Subvention Jobticket
Career Advancement
- Allianz Group career opportunities
Learning & Development
- Self-guided learning and development
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Data Engineer(m/w/x)
Designing scalable data platforms for investment data, integrating market/alternative data pipelines, and building AI-backed solutions for investment workflows at a global asset manager. RAG and GenAI development experience required. Flexible work arrangements.
Requirements
- University degree in relevant technical field
- Experience in data and software engineering
- Ideally industry experience in finance
- Experience in RAG and GenAI development
- Experience working with agile teams
- Proficiency in Python and ML frameworks
- Cloud and AI expertise
- Experience with DevOps practices and tools
- Interpersonal skills and excellent English communication
- Collaborative ability in diverse team environments
- Interest in learning financial market notions
- Ability to work independently and motivation
Tasks
- Design scalable data platforms for structured and unstructured investment data
- Develop and manage pipelines for market and alternative data integration
- Engineer data schemas for quantitative investment research
- Integrate data solutions into the company's AI stack
- Build and monitor AI-backed solutions to simplify investment workflows
- Set technical direction for data model integrity and architecture
- Ensure compliance with performance, security, and regulatory requirements
- Collaborate with subject matter experts, architects, and governance teams
- Engage with investment teams to capture business and data requirements
- Align backend solutions with evolving business needs and feedback
- Support platform monitoring, issue resolution, and regular health checks
- Research innovative technologies to improve platform scalability and security
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
- Hybrid working
- Flexible work arrangements
- Flexible working hours
Retirement Plans
- Company pension plans
- Savings plans
Other Benefits
- Relocation support
Childcare
- Childcare facilities
Competitive Pay
- Company share purchasing plan
Mental Health Support
- Mental health programs
Healthcare & Fitness
- Wellbeing programs
Company Bike
- Jobrad bike leasing
Public Transport Subsidies
- Subvention Jobticket
Career Advancement
- Allianz Group career opportunities
Learning & Development
- Self-guided learning and 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.
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