Dein persönlicher KI-Karriere-Agent
Senior Data Engineer - Investment Platforms(m/w/x)
Designing scalable data pipelines for investment research, handling structured and unstructured data. 5+ years data engineering experience required. Hybrid model, flexible hours, relocation support.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Databricks
- Spark
- Docker
- Kubernetes
- Git
- GitHub
- GitLab
- Jira
Benefits
Flexibles Arbeiten
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Betriebliche Altersvorsorge
- Company pension/savings plans
Sonstige Vorteile
- Relocation support
Kinderbetreuung
- Childcare facilities
Attraktive Vergütung
- Company share purchasing plan
Mentale Gesundheitsförderung
- Mental health and wellbeing programs
Firmenfahrrad
- Jobrad bike leasing
Öffi Tickets
- Subvention Jobticket
Karriere- und Weiterentwicklung
- Career opportunities within Allianz Group
Weiterbildungsangebote
- Self-guided learning & development
Gemeinnützige Ausrichtung
- Volunteering time
Noch nicht perfekt?
- Allianz Global InvestorsVollzeitmit HomeofficeSeniorFrankfurt am Main, München
- Allianz Global Investors
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, München - Zühlke Engineering AG
(Senior) Data engineer - German Speaking(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenEschborn - 0010 Deutsche Bank Aktiengesellschaft
Senior Data Engineer - Data Platform on Google Cloud(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorFrankfurt am Main - paiqo GmbH
Senior Azure\u202fData Engineer - Agentic AI Platform(m/w/x)
Vollzeitmit HomeofficeSeniorPaderborn, Frankfurt am Main
Senior Data Engineer - Investment Platforms(m/w/x)
Designing scalable data pipelines for investment research, handling structured and unstructured data. 5+ years data engineering experience required. Hybrid model, flexible hours, relocation support.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Databricks
- Spark
- Docker
- Kubernetes
- Git
- GitHub
- GitLab
- Jira
Benefits
Flexibles Arbeiten
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Betriebliche Altersvorsorge
- Company pension/savings plans
Sonstige Vorteile
- Relocation support
Kinderbetreuung
- Childcare facilities
Attraktive Vergütung
- Company share purchasing plan
Mentale Gesundheitsförderung
- Mental health and wellbeing programs
Firmenfahrrad
- Jobrad bike leasing
Öffi Tickets
- Subvention Jobticket
Karriere- und Weiterentwicklung
- Career opportunities within Allianz Group
Weiterbildungsangebote
- Self-guided learning & development
Gemeinnützige Ausrichtung
- Volunteering time
Über das Unternehmen
Allianz Global Investors
Branche
FinancialServices
Beschreibung
Allianz Global Investors is a leading global active asset manager focused on long-term value creation and sustainability.
Noch nicht perfekt?
- Allianz Global Investors
Senior Data Engineer - Systematic Investment Platforms(m/w/x)
Vollzeitmit HomeofficeSeniorFrankfurt am Main, München - Allianz Global Investors
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, München - Zühlke Engineering AG
(Senior) Data engineer - German Speaking(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenEschborn - 0010 Deutsche Bank Aktiengesellschaft
Senior Data Engineer - Data Platform on Google Cloud(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorFrankfurt am Main - paiqo GmbH
Senior Azure\u202fData Engineer - Agentic AI Platform(m/w/x)
Vollzeitmit HomeofficeSeniorPaderborn, Frankfurt am Main