Data Engineer

Questa posizione è in Generali Italia Riassunto dell'opportunità da parte della Joinrs AI: Generali Italia cerca un Data Engineer o Machine Learning Engineer con almeno 3 anni di esperienza e laurea in Informatica, Ingegneria o discipline affini. Il candidato si occuperà della progettazione e gestione di pipeline dati scalabili, ottimizzazione ETL e integrazione di modelli di machine learning, lavorando in un contesto di soluzioni cloud e big data. Offre un ambiente inclusivo, formazione continua e sviluppo professionale in un gruppo internazionale leader assicurativo.

Il processo di selezione sarà interamente gestito da Generali Italia. -- 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 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 Main expected skills: 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 Essere Partner di Vita è la nostra ambizione: ogni giorno vogliamo essere al fianco dei nostri clienti prendendoci cura delle loro vite e dei loro sogni. Questo per noi è Più di un Lavoro. Siamo parte di un importante Gruppo internazionale con oltre 82 mila persone in tutto il mondo e più di 68 milioni di clienti.

Siamo tra i principali player globali del settore assicurativo: l’innovazione e la sostenibilità sono nel nostro DNA.

Generali

Italia è l’assicuratore più conosciuto in Italia con oltre Є28 miliardi di premi totali, 15 mila dipendenti e una rete capillare di 40 mila distributori, oltre ai canali online e di bancassurance. A Generali Italia fanno capo Alleanza Assicurazioni, Das, Genertel e Genertellife, Generali Welion, Generali Jeniot e Leone Alato, oltre alle attività della Business Unit Cattolica.

Il Gruppo

Generali offre delle interessanti opportunità di arricchimento professionale in un contesto lavorativo caratterizzato da: Cultura aziendale solida e aperta, modi di lavorare innovativi, formazione e affiancamento a supporto di un inserimento efficace

Ambiente di lavoro inclusivo in cui ognuno si sente accolto, libero di esprimere al meglio la propria identità, le proprie idee e le proprie capacità: perché siamo Più che diverse, Persone Uniche

Qualità dei processi e iniziative per le nostre persone, che ci distinguono come Top Employer. -- [#J-ENTERPRISE]