Data Engineer -IT

The Data Technologies, Analytics and BI Solutions team is responsible for:

Defining and setting up advanced technological solutions, strategies and standards to manage the overall Company data, to constantly improve automated data exchange within the IT platforms and AI solutions architecture

Promoting and managing the transition of the incumbent IT architecture to selected Cloud ecosystems

Evaluating the architectural consistency of all the “digital touchpoints’’

Supporting in developing new business/organizational models based on cloud digital platforms, to leverage big data analytics, machine learning capabilities and help the business grow/optimize costs

Defining, setting up and managing technology standards and solutions aimed mainly at calculation engines for analytics, Data Warehousing and Business Intelligence/Reporting tools;

Managing the key Data Technology and Reporting Solutions taking care of their seamless operational functioning;

Taking care of the development of data architectures functional to business needs, and of their implementation through state-of-the-art technologies and infrastructures

Managing requirements gathering and analysis, technical solution design and implementation, maintenance and evolution of related systems and of the other data technology and reporting solutions and their related technological and infrastructural framework

Steering and managing the relationship with the external IT vendors providing data technology and reporting solutions and services to the Company, overseeing the service levels delivered and the consistency of the solutions; proposed with the overall technology and systems framework of the Company

Design, build, and maintain scalable data pipelinesto support business analytics, machine learning models, and AI-driven decision-making.

Develop and optimize ETL processes, ensuring efficient data ingestion from multiple sources (structured and unstructured) into cloud-based data lakes and warehouses.

Implement data quality frameworks and monitoring systemsto ensure high data reliability, consistency, and governance.

Integrate machine learning workflowsby developing feature stores, automating data preprocessing pipelines, and optimizing model training datasets.

Work closely with MLOps teamsto enable the deployment, monitoring, and lifecycle management of machine learning models in production.

Collaborate with Cloud Data Platform engineersto optimize storage solutions, data processing frameworks, and cost-efficient cloud architectures.

Ensure security and compliancewith industry best practices and regulatory standards related to financial data.

Provide technical leadershipon emerging technologies, data engineering best practices, and scalable AI integration strategies.

Coordinate with external resources on developing complex solutions in the data and machine learning domains

3+ years of experience in Data Engineering or Machine Learning Engineering

• Strong proficiency in Python (Pandas or similar, PySpark), SQL, or Scala for data manipulation and transformation
• Experience with cloud platforms such as AWS, Azure, or Google Cloud and data storage technologies (Redshift, DynamoDB, BigQuery, etc.)
• Solid understanding of data modeling, data contracts, and governance frameworks
• Familiarity with machine learning model operationalization and feature engineering
• Bachelor’s degree in Computer Science, Engineering, or a related field

Master’s degree or PhD in Data Science, AI, or a related field

Familiarity with BI tools such as Power BI, Tableau, or Looker

Understanding of regulatory requirements in financial data governance

Pragmatic engineering approach to solve problems

Collaborative mindset with a focus on driving business value through data

Ability to manage multiple projects and deadlines in a fast-paced environment

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. 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.

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.).

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