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ALAllianz Global Investors

Data Engineer(m/w/x)

Frankfurt am Main, München
Full-timeWith Home OfficeExperienced
AI/ML
Data Science

Designing full-stack investment data solutions with GenAI/ML integration for asset management. Finance industry experience and 3+ years cloud-native architecture required. Hybrid model, flexible hours, relocation support.

Requirements

  • University degree in CS, IS, Engineering, ML, Data Science or related
  • Minimum 3 years data/software engineering and cloud-native architecture
  • Industry experience in finance/investment management
  • Relevant experience in RAG and Agentic architecture, GenAI/ML app development
  • Minimum 2 years working with agile teams
  • Proficiency in Python and ML/GenAI libraries/frameworks
  • Cloud and AI expertise (Azure Databricks, Azure Data Lake, SQL, Foundry, Kubernetes)
  • Experience with Agile development and DevOps practices
  • Well-developed interpersonal skills and excellent English communication
  • Collaborative work in global, diverse teams with customer-service focus
  • Understanding of financial markets and investment management data
  • Ability to work independently and deliver solutions

Tasks

  • Design and develop full-stack investment data solutions
  • Integrate GenAI and Machine Learning applications
  • Drive big data solutions and AI adoption
  • Develop investment research and decision support solutions
  • Design scalable data platforms for structured and unstructured data
  • Develop and manage data pipelines for market and reference data
  • Design and engineer schemas for quantitative investment research
  • Integrate solutions into AllianzGI’s AI stack
  • Contribute to continuous development of AI stack
  • Design and build AI-backed solutions to simplify workflows
  • Monitor and enhance AI-backed solutions
  • Act as a data architect, setting technical design direction
  • Ensure data model integrity and compliance
  • Work with subject matter experts, architects, and analysts
  • Engage with investment teams to capture business requirements
  • Gather feedback and resolve issues
  • Align backend solutions with evolving business needs
  • Support BAU operations, including platform monitoring
  • Resolve issues and perform regular health checks
  • Stay updated on innovative methods and technologies
  • Improve platform efficiency, security, and scalability

Work Experience

  • 3 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Azure Databricks
  • Azure Data Lake
  • SQL
  • Foundry
  • Kubernetes
  • Harness
  • GitHub
  • JFrog
  • Jira
  • Datadog

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
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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