Allianz Global Investors
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Frankfurt am Main, München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
ALAllianz Global Investors
Data Analyst/Engineer(m/w/x)
Frankfurt am Main, München
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Building data pipelines and ETL/ELT processes for quantamental signals on Azure. 3+ years data engineering experience required. Company pension, relocation support, childcare facilities.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Azure Databricks
- Azure Data Lake
- Azure SQL Server
- GitHub
- JFrog
- Jira
- Datadog
- GenAI
- ML
Benefits
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
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
Data Analyst/Engineer(m/w/x)
Frankfurt am Main, München
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Building data pipelines and ETL/ELT processes for quantamental signals on Azure. 3+ years data engineering experience required. Company pension, relocation support, childcare facilities.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – fließend
Tools & Technologien
- Python
- SQL
- Azure Databricks
- Azure Data Lake
- Azure SQL Server
- GitHub
- JFrog
- Jira
- Datadog
- GenAI
- ML
Benefits
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
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
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, München - Zühlke Engineering AG
(Senior) Data engineer - German Speaking(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenEschborn - Devoteam
Data Engineer Microsoft Azure(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main - Devoteam
Data Engineer Microsoft Azure(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main - WEFRA LIFE GmbH
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenNeu-Isenburg