Allianz Global Investors
Senior Data Engineer - Investment Platforms(m/w/x)
Full-timeWith HomeofficeSenior
Frankfurt am Main, München
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ALAllianz Global Investors
Senior Data Engineer - Systematic Investment Platforms(m/w/x)
Frankfurt am Main, München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Advancing big data platform using Databricks for investment teams. 5+ years data engineering experience required. Flexible work arrangements, hybrid model.
Requirements
- 5+ years data engineering, backend engineering, or data platform engineering
- University degree in CS, Math, Physics, Engineering, or equivalent practical experience
- Strong hands-on Python development, deployment, and operation
- Strong SQL and data modelling 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
- Exposure to latest Databricks features (SDP, Feature Store, Mosaic)
- Experience with relational databases and modern data storage concepts
- Good understanding of backend application design, APIs, and integration patterns
- Familiarity with Docker, Kubernetes, and modern SDLC/DevOps tooling (Git, GitHub/GitLab, Jira)
- Ability to contribute to technical design and collaborate across teams
- Exposure to AI/GenAI/ML-enabled solutions is an advantage
- Relevant experience in investment management, financial instrument, and investment data desired
- Strong written and spoken English skills
- Agile mindset, collaborative working style, and high ownership
Tasks
- Advance big data platform using Databricks
- Onboard investment teams, design data solutions
- Design, build scalable data pipelines for research, analytics
- Develop, optimize ETL/ELT workflows for various data types
- Engineer robust data models, storage solutions for research
- Build, maintain backend components, APIs for data access
- Contribute to technical design decisions for data systems
- Integrate data solutions into AI, machine learning use-cases
- Translate business, data requirements into technical solutions
- Support platform operations, monitor, resolve issues
- Contribute to engineering standards, best practices
- Stay informed about relevant technologies, market trends
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 - Systematic Investment Platforms(m/w/x)
Frankfurt am Main, München
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Advancing big data platform using Databricks for investment teams. 5+ years data engineering experience required. Flexible work arrangements, hybrid model.
Requirements
- 5+ years data engineering, backend engineering, or data platform engineering
- University degree in CS, Math, Physics, Engineering, or equivalent practical experience
- Strong hands-on Python development, deployment, and operation
- Strong SQL and data modelling 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
- Exposure to latest Databricks features (SDP, Feature Store, Mosaic)
- Experience with relational databases and modern data storage concepts
- Good understanding of backend application design, APIs, and integration patterns
- Familiarity with Docker, Kubernetes, and modern SDLC/DevOps tooling (Git, GitHub/GitLab, Jira)
- Ability to contribute to technical design and collaborate across teams
- Exposure to AI/GenAI/ML-enabled solutions is an advantage
- Relevant experience in investment management, financial instrument, and investment data desired
- Strong written and spoken English skills
- Agile mindset, collaborative working style, and high ownership
Tasks
- Advance big data platform using Databricks
- Onboard investment teams, design data solutions
- Design, build scalable data pipelines for research, analytics
- Develop, optimize ETL/ELT workflows for various data types
- Engineer robust data models, storage solutions for research
- Build, maintain backend components, APIs for data access
- Contribute to technical design decisions for data systems
- Integrate data solutions into AI, machine learning use-cases
- Translate business, data requirements into technical solutions
- Support platform operations, monitor, resolve issues
- Contribute to engineering standards, best practices
- Stay informed about relevant technologies, market trends
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
Senior Data Engineer - Investment Platforms(m/w/x)
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