Allianz

2 weeks ago

DATA ENGINEER (Milan, IT, 20145)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Build and maintain robust data pipelines and data models that support advanced analytics and business intelligence. Partner with business teams to capture data requirements and enhance business processes across the full data and AI lifecycle—from extraction through visualization. Improve production processes with scalable solutions, and contribute to R&D by integrating cutting-edge technical approaches. Work in the Chief Protection Officer data/AI team to deliver reliable datasets for dashboards and analytics.

Location: Milan

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with business teams to understand data requirements and develop robust architectures and data models.
•Manage the lifecycle of data and AI models, from extraction through visualization.
•Build and maintain data pipelines that transform raw data into high-quality datasets for analytics and dashboarding.
•Maintain and improve production processes by identifying and implementing optimized, scalable solutions.
•Contribute to R&D initiatives by discovering and integrating cutting-edge technical solutions.

Pay and Benefits

Salary: EUR 40,000 - 50,000

Key Requirements

•Master’s degree in Computer Science, Data Science, STEM disciplines, Computer Engineering, Data Engineering, or a closely related field.
•5-7 years working experience in Data Science/Engineering.
•Solid experience with large datasets using Big Data frameworks, especially PySpark, or cloud platforms (Azure, AWS).
•Knowledge in SQL and Oracle databases.
•Proficiency in Python and its core data science libraries (Pandas, NumPy, Scikit-Learn).

Experience:5-7 years

Education:Master's in Computer Science, Data Science, STEM disciplines, Computer Engineering, Data Engineering

Skills:CommunicationStorytellingCollaborationMultidisciplinary teamworkProblem communication

Languages:ItalianEnglish

Tech Stack:PySparkAzureAWSSQLOraclePythonPandasNumPyScikit-LearnPower BIMachine LearningStatistical algorithmsData pipelinesData modeling

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

Website LinkedIn

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Allianz

2 weeks ago

DATA ENGINEER (Milan, IT, 20145)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Milan

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with business teams to understand data requirements and develop robust architectures and data models.
•Manage the lifecycle of data and AI models, from extraction through visualization.
•Build and maintain data pipelines that transform raw data into high-quality datasets for analytics and dashboarding.
•Maintain and improve production processes by identifying and implementing optimized, scalable solutions.
•Contribute to R&D initiatives by discovering and integrating cutting-edge technical solutions.

Pay and Benefits

Salary: EUR 40,000 - 50,000

Key Requirements

•Master’s degree in Computer Science, Data Science, STEM disciplines, Computer Engineering, Data Engineering, or a closely related field.
•5-7 years working experience in Data Science/Engineering.
•Solid experience with large datasets using Big Data frameworks, especially PySpark, or cloud platforms (Azure, AWS).
•Knowledge in SQL and Oracle databases.
•Proficiency in Python and its core data science libraries (Pandas, NumPy, Scikit-Learn).

Experience:5-7 years

Education:Master's in Computer Science, Data Science, STEM disciplines, Computer Engineering, Data Engineering

Skills:CommunicationStorytellingCollaborationMultidisciplinary teamworkProblem communication

Languages:ItalianEnglish

Tech Stack:PySparkAzureAWSSQLOraclePythonPandasNumPyScikit-LearnPower BIMachine LearningStatistical algorithmsData pipelinesData modeling

Company Brief

Allianz

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

Website LinkedIn