Data Engineer - AI & Data Products

Generali Italia; Lombardia; Hybrid; EUR 36,000 - 42,000; Full time

Benefits offered by this job

Health insurance coverage

Supplementary pension scheme

Corporate welfare plan

Hybrid working arrangements

Meal vouchers

Training programs and Learning平台

Opportunities for internal and国际mob

Job summary

Generali Italia seeks a data engineer/ML engineer to design cloud-native data pipelines for analytics and AI, ingest data into lakehouse architectures, and ensure data quality with governance by design.

You will support AI/ML workflows, develop feature stores, preprocessing pipelines, and training datasets while collaborating with data scientists and AI engineers to industrialize models using MLOps and CI/CD. Hybrid work arrangement offered.

Qualifications

• 3 years of experience in Data Engineering or ML Engineering.
• Proficiency in Python, SQL, or Scala; PySpark is a plus.
• Experience with cloud platforms (AWS, Azure, or GCP) and data storage technologies.
• Hands-on experience with distributed frameworks (e.g., Spark).
• Knowledge of data modeling and data governance concepts.
• Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker).
• Bachelor's degree in Computer Science, Engineering, or a related field.

Responsibilities

• Design and develop cloud-native data pipelines for analytics, AI, and data-driven applications.
• Build and optimize batch and streaming data ingestion into modern data lakehouse architectures.
• Ensure data quality, reliability, observability, and governance by design.
• Support AI/ML workflows by developing feature stores, preprocessing pipelines, and training datasets.
• Contribute to GenAI and advanced AI use cases through optimized data architectures.
• Develop backend data services and APIs for production environments.
• Collaborate with Data Scientists and AI Engineers to industrialize models using MLOps and CI/CD practices.
• Work with Platform Engineering and SRE teams to ensure scalability, monitoring, and cost optimization.
• Contribute to the evolution of the cloud data platform architecture.
• Ensure security, privacy, and compliance (especially for financial data).
• Stay up to date on emerging trends (GenAI, real-time analytics, data mesh, AI platforms).

Skills

Python

SQL

Scala

PySpark

Cloud platforms (AWS/Azure/GCP)

Spark

Data modeling

Data governance

MLOps tools (MLflow, Kubeflow, SageMak

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

MLflow

Kubeflow

SageMaker

Job description

Job Description

The Data Technologies, Analytics & BI Solutions team is responsible for designing, building, and operating scalable Data, AI, and Cloud platforms, enabling reliable, reusable, and business-driven solutions at scale.

Working in a tech-driven environment, the team partners with internal IT functions (e.g., Innovation & AI Forge) to transform validated initiatives into robust, scalable, and production-ready products.

The selected candidate will:

• Design and develop cloud-native data pipelines for analytics, AI, and data-driven applications
• Build and optimize batch and streaming data ingestion into modern data lakehouse architectures
• Ensure data quality, reliability, observability, and governance by design
• Support AI/ML workflows by developing feature stores, preprocessing pipelines, and training datasets
• Contribute to GenAI and advanced AI use cases through optimized data architectures
• Develop backend data services and APIs for production environments
• Collaborate with Data Scientists and AI Engineers to industrialize models using MLOps and CI/CD practices
• Work with Platform Engineering and SRE teams to ensure scalability, monitoring, and cost optimization
• Contribute to the evolution of the cloud data platform architecture
• Ensure security, privacy, and compliance (especially for financial data)
• Stay up to date on emerging trends (GenAI, real-time analytics, data mesh, AI platforms)

Requirements

• 3 years of experience in Data Engineering or ML Engineering
• Programming skills (Python, SQL, or Scala; experience with PySpark is a plus)
• Experience with cloud platforms (AWS, Azure, or GCP) and data storage technologies
• Hands-on experience with distributed frameworks (e.g., Spark)
• Knowledge of data modeling and data governance concepts
• Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker)
• Bachelor's degree in Computer Science, Engineering, or a related field

What we offer

The role is offered within the 3^Area Professionale category, under the National Collective Labour Agreement for the Banking Sector (CCNL Credito) and the applicable Company Collective Agreement (Contratto Integrativo Aziendale).

The starting gross annual salary is €37.000. The final offer will reflect the candidate's professional experience and the technical and interpersonal competences required for the position and may include an individual variable compensation component.

Additional benefits include:

• Health insurance coverage
• Supplementary pension scheme
• Corporate welfare plan
• Hybrid working arrangements (Smart-working)
• Meal vouchers
• Preferential access to Group products and services
• Training programs and Learning platforms
• Opportunities for internal and international mobility

Why Choose Generali

Joining Generali means becoming part of an international Group with a strong heritage and a forward-looking vision, where people are at the center of our sustainable growth strategy.

We foster a responsible, inclusive, and innovation-driven work environment, where everyone can contribute to creating value for customers, society, and the communities in which we operate. We believe that diversity, equity and inclusion are essential to building a stronger culture and driving sustainable growth.

At Generali, you will find opportunities to grow through continuous learning, career development paths, and internal mobility across the Group. We recognize talent and merit, and support flexibility as a key enabler of well-being and a sustainable work-life balance.

Working with us means sharing strong values and taking on meaningful challenges together to build a safer and more sustainable future every day.

As an Equal Opportunity Employer, Generali evaluates all applications based exclusively on objective and gender-neutral criteria, including skills, experience and potential, ensuring fairness and transparency throughout the selection process.

Company Profile

Generali is a major player in the global insurance industry - a strategic and highly important sector for the growth, development and welfare of modern societies. Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees. Our Group aims to become the standard bearer and industry leader in the European retail insurance market, building on our existing base of 50 million retail clients, out of an overall total of 72 million.

Generali Asset Management is a European investment specialist, offering a wide range of active funds and bespoke solutions across both public and private markets. Our investment experience is grounded in a solid heritage, with skills that have been developed and honed over time by managing Generali Group and external clients' assets.

Generali Asset Management S.p.A. guarantees a solid framework of services designed to support various asset management activities. Key elements include the provisioning of IT services over all applications underpinning the investment and asset management value chain (Front Office, Trading Desk, Investment Compliance, Middle and Back Office, Analytics and Reporting, etc.) The company also acts as a holding company, retaining share capital in the boutiques and Generali Investments' companies.