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Data Analyst/Engineer(m/w/x)
Building data pipelines and ETL/ELT processes for quantamental signals on Azure. 3+ years data engineering experience required. Company pension, relocation support, childcare facilities.
Requirements
- University degree or equivalent in Computer Science, Information Systems, Engineering, Finance or related fields
- Minimum 3 years data and software engineering experience
- Minimum 2 years working with agile teams
- Proficiency in Python and SQL
- Cloud expertise (Azure Databricks, Azure Data Lake, Azure SQL Server)
- Experience with Agile development using GitHub, JFrog, Jira, Datadog
- Experience designing and maintaining data models and schemas for analytical or investment use cases
- Well-developed interpersonal skills and excellent English communication
- Strong analytical mindset with attention to detail
- Collaborative working style and customer-service focus
- Understanding of financial markets and investment management data
- Proactive, self-driven, and comfortable owning workflows
- Exposure to GenAI/ML beneficial
- Ideally industry experience in finance/investment management
Tasks
- Design and build robust data pipelines
- Develop ETL/ELT processes for data accuracy, completeness, and performance
- Engineer and manage data models and schemas
- Consolidate datasets for quantamental signals
- Support the unified investment data foundation
- Operationalize quantitative signals and research tools
- Own the end-to-end reporting lifecycle
- Translate complex datasets into clear visual insights
- Ensure timely and reliable data access
- Implement and maintain data quality checks
- Monitor pipelines and resolve issues
- Optimize pipeline performance
- Contribute to data governance standards
- Build analytical datasets for self-service analytics
- Support exploratory analysis and data investigation
- Prepare datasets for comparing quant signals with fundamental insights
- Use Databricks, Azure Data Lake, and SQL Server for scalable solutions
- Explore new tools and methods for improvement
- Contribute to the integration of research, analytics, and investment datasets
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Azure Databricks
- Azure Data Lake
- Azure SQL Server
- GitHub
- JFrog
- Jira
- Datadog
- GenAI
- ML
Benefits
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
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
- Home
- Jobs in Germany
- Data Analyst/EngineerData Analyst/Engineer at Allianz Global Investors
Not a perfect match?
- Allianz Global InvestorsFull-timeWith HomeofficeExperiencedFrankfurt am Main, München
- Zühlke Engineering AG
(Senior) Data engineer - German Speaking(m/w/x)
Full-timeWith HomeofficeExperiencedEschborn - Devoteam
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Data Engineer Microsoft Azure(m/w/x)
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Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedNeu-Isenburg
- Home
- Jobs in Germany
- Data Analyst/EngineerData Analyst/Engineer at Allianz Global Investors
Data Analyst/Engineer(m/w/x)
Building data pipelines and ETL/ELT processes for quantamental signals on Azure. 3+ years data engineering experience required. Company pension, relocation support, childcare facilities.
Requirements
- University degree or equivalent in Computer Science, Information Systems, Engineering, Finance or related fields
- Minimum 3 years data and software engineering experience
- Minimum 2 years working with agile teams
- Proficiency in Python and SQL
- Cloud expertise (Azure Databricks, Azure Data Lake, Azure SQL Server)
- Experience with Agile development using GitHub, JFrog, Jira, Datadog
- Experience designing and maintaining data models and schemas for analytical or investment use cases
- Well-developed interpersonal skills and excellent English communication
- Strong analytical mindset with attention to detail
- Collaborative working style and customer-service focus
- Understanding of financial markets and investment management data
- Proactive, self-driven, and comfortable owning workflows
- Exposure to GenAI/ML beneficial
- Ideally industry experience in finance/investment management
Tasks
- Design and build robust data pipelines
- Develop ETL/ELT processes for data accuracy, completeness, and performance
- Engineer and manage data models and schemas
- Consolidate datasets for quantamental signals
- Support the unified investment data foundation
- Operationalize quantitative signals and research tools
- Own the end-to-end reporting lifecycle
- Translate complex datasets into clear visual insights
- Ensure timely and reliable data access
- Implement and maintain data quality checks
- Monitor pipelines and resolve issues
- Optimize pipeline performance
- Contribute to data governance standards
- Build analytical datasets for self-service analytics
- Support exploratory analysis and data investigation
- Prepare datasets for comparing quant signals with fundamental insights
- Use Databricks, Azure Data Lake, and SQL Server for scalable solutions
- Explore new tools and methods for improvement
- Contribute to the integration of research, analytics, and investment datasets
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- SQL
- Azure Databricks
- Azure Data Lake
- Azure SQL Server
- GitHub
- JFrog
- Jira
- Datadog
- GenAI
- ML
Benefits
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
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
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
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, München - Zühlke Engineering AG
(Senior) Data engineer - German Speaking(m/w/x)
Full-timeWith HomeofficeExperiencedEschborn - Devoteam
Data Engineer Microsoft Azure(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main - Devoteam
Data Engineer Microsoft Azure(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main - WEFRA LIFE GmbH
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedNeu-Isenburg