(Senior) Data Engineer (m/w/d) (Wien, AT, 1100)

Allianz
Austria
Workplace: HybridFull timeEUR 60,000+ annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3-5 yearsEducation: bachelorsSkills: ["Analytical thinking","Communication","Solution orientation","Creative thinking","Stakeholder management"]

Design and develop future-ready data architectures across cross-functional teams in insurance technology, ensuring the right data foundation and KPIs for company steering. Build and optimize data models and data pipelines for enterprise analytics, and continuously improve ELT/ETL processes for reliable data processing. Leverage AI and machine learning to drive process automation, collaborating with Data Scientists and Analysts on data-driven initiatives.

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FursaFursa
Allianz
Allianz
1 week ago

(Senior) Data Engineer (m/w/d) (Wien, AT, 1100)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Design and develop future-ready data architectures across cross-functional teams in insurance technology, ensuring the right data foundation and KPIs for company steering. Build and optimize data models and data pipelines for enterprise analytics, and continuously improve ELT/ETL processes for reliable data processing. Leverage AI and machine learning to drive process automation, collaborating with Data Scientists and Analysts on data-driven initiatives.
Location: Austria
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and develop data architectures with cross-functional insurance technology teams.
  • •Ensure an appropriate data basis and meaningful metrics (KPIs) for company steering.
  • •Create and optimize data models and data pipelines to support enterprise analytics.
  • •Continuously improve ELT/ETL processes for efficient, reliable data processing.
  • •Use AI/ML algorithms to support process automation and assist Data Scientists and Analysts with data initiatives.

Pay and Benefits

Salary: EUR 60,000 annually
Equity and Bonus:Equity
Perks:Remote WorkMeal AllowanceEquityLearning Budget

Key Requirements

  • •Completed degree in Computer Science, Computer Engineering, Data Engineering or a related MINT field (advantageous).
  • •3–5+ years of experience working with and processing large datasets using Big-Data frameworks, especially PySpark in Databricks, Azure Synapse or Fabric.
  • •Strong Python knowledge plus core data science libraries (Pandas, NumPy, Scikit-Learn).
  • •Deep understanding of databases and data modeling, including data acquisition/connectivity, security, data quality, accuracy, and migration.
  • •Analytical skills with a solution-oriented, creative mindset, and strong communication in negotiation-level German and English.
Experience:3-5 yearsBig dataInsuranceData engineering
Education:Bachelor's
Skills:Analytical thinkingCommunicationSolution orientationCreative thinkingStakeholder management
Languages:GermanEnglish
Tech Stack:PythonPySparkDatabricksAzure SynapseFabricPandasNumPyScikit-LearnELTETLAIMachine LearningCI/CDGit

Company Brief

Allianz
Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Munich, Germany
Founded: 1890
WebsiteLinkedIn