Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8n15u4

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
The selected candidate will:
Design, build, and maintain scalable data pipelines to 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 systems to ensure high data reliability, consistency, and governance.
Integrate machine learning workflows by developing feature stores, automating data preprocessing pipelines, and optimizing model training datasets.
Work closely with MLOps teams to enable the deployment, monitoring, and lifecycle management of machine learning models in production.
Collaborate with Cloud Data Platform engineers to optimize storage solutions, data processing frameworks, and cost-efficient cloud architectures.
Ensure security and compliance with industry best practices and regulatory standards related to financial data.
Provide technical leadership on 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
Requirements
Our ideal candidate will meet the following requirements:
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.)
Hands?on experience with distributed computing frameworks (Spark, Ray, etc.)
Solid understanding of data modeling, data contracts, and governance frameworks
Experience with MLOps tools and frameworks such as MLflow, Kubeflow, and Vertex AI
Familiarity with machine learning model operationalization and feature engineering
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have:
Master's degree or PhD in Data Science, AI, or a related field
Experience in the financial or asset management sector
Familiarity with BI tools such as Power BI, Tableau, or Looker
Understanding of regulatory requirements in financial data governance
Excellent communication and leadership skills
Pragmatic engineering approach to solve problems
Collaborative mindset with a focus on driving business value through data
Strong problem?solving abilities and capacity for abstraction
Ability to manage multiple projects and deadlines in a fast?paced environment
Ability to develop knowledge in new technologies and good proactivity
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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8n15u4