Allianz Global Investors
Senior Data Engineer - Investment Platforms(m/w/x)
Vollzeitmit HomeofficeSenior
Frankfurt am Main, München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
ALAllianz Global Investors
Senior Data Engineer - Systematic Investment Platforms(m/w/x)
Frankfurt am Main, München
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Advancing big data platform using Databricks for investment teams. 5+ years data engineering experience required. Flexible work arrangements, hybrid model.
Anforderungen
- 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
Aufgaben
- 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
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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Allianz Global Investors erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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ALAllianz Global Investors
Senior Data Engineer - Systematic Investment Platforms(m/w/x)
Frankfurt am Main, München
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Advancing big data platform using Databricks for investment teams. 5+ years data engineering experience required. Flexible work arrangements, hybrid model.
Anforderungen
- 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
Aufgaben
- 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
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
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Allianz Global Investors erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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 - Investment Platforms(m/w/x)
Vollzeitmit HomeofficeSeniorFrankfurt am Main, München - Allianz Global Investors
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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