About Prysmian
Prysmian is the world leader in the energy and telecom cable systems industry. Each year, the Group manufacturers thousands of miles of underground and submarine cables and systems for power transmission and distribution, as well as medium low voltage cables for the construction and infrastructure sectors. We also produce a comprehensive range of optical fibers, copper cables and connectivity for voice, video and data transmission for the telecommunication sector. We are almost 29.000 employees, across 52 countries. Everyone at Prysmian has the potential to make their mark; because whatever you do, wherever you are based, you will be part of a company that is helping transform the world around us.
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As a Data and AI Specialist, you are going to be the cornerstone of the data team, playing a key role in designing, implementing, and optimizing data-driven solutions across our company. You will bridge the gap between data science and data engineering, developing and implementing advanced analytics and machine learning use cases to drive digital transformation. You’ll drive complex projects from ideation to production, working closely with interdisciplinary teams to create value across the entire lifecycle of the use case.

What are the key challenges for this role:

• Design, develop, and maintain scalable ETL/ELT pipelines for both batch and real-time processing.
• Implement data ingestion and transformation workflows for structured and unstructured data.
• Ensure data quality through cleansing, validation, and anomaly detection.
• Apply parallel computing techniques to optimize data storage, retrieval, and processing for efficiency, scalability and performance.
• Implement best practices for data governance, security, and compliance.
• Develop and implement machine learning models to generate business insights.
• Analyze large datasets to extract actionable intelligence and support data-driven decision-making.
• Collaborate with business stakeholders to translate needs into data solutions.
• Deploy and monitor models in production, ensuring performance and reliability.
• Leverage Prysmian Data Platform for building robust analytical solutions.
• Follow MLOps best practices, ensuring reproducibility and maintainability of machine learning models.

How is success defined in this role?
Study and align with the team regarding existing architectures, technologies, and guidelines, and propose potential cost optimizations.
Suggest and support the optimization and standardization of existing architectures, ensuring they are uniform and efficient.
Collaborate with teams to ensure that solutions are deployable within the project timelines, and that they are scalable and reusable.
What are the 3 most exciting aspects of this role?
Opportunity to work at the intersection of business and technology, driving innovation and digital transformation in a multinational environment with allocation in the HQ team.
Collaboration with a diverse range of teams and experts, fostering a dynamic and stimulating work environment while being part of a new and growing area.
Working with the latest cutting-edge technologies alongside top player partners.

Who are we looking for?

• Degree in Computer Engineering, Mathematical Engineering, Computer Science, Statistics, or related STEM field.
• 3+ years of experience in data engineering and/or data science.
• Proficiency in Python, SQL, and PySpark (or similar big data technologies) for data processing and analytics.
• Experience with cloud platforms (AWS and/or Azure) and services for data management, processing, and analysis (e.g., data lakes, data warehouses).
• Strong knowledge of data exploration, transformation, and analysis, including data quality best practices.
• Experience in designing and maintaining scalable pipelines for structured and unstructured data processing.
• Experience with model development across its entire lifecycle, from ideation to monitoring, including MLOps best practices.
• Familiarity with version control systems (e.g., Git) and model lifecycle management systems (e.g., MLFlow).
• Understanding of data governance, security, and compliance standards, with experience implementing best practices.

Nice to have:

• Relevant certifications such as:
• AWS Certified Big Data – Specialist
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Data Scientist Associate
• Databricks Certified Data Engineer Associate
• Databricks Certified Machine Learning Associate
• Experience with Agile methodology applied to Data Science (e.g., TDSP).
• Experience on Databricks platform.

Additional information
Prysmian, as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills and abilities, who will enhance the quality of service and contribute to the Group’s success. Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, appreciated and free to fully express their human potential. Prysmian strongly believes that diversity drives meritocracy and brings significant value at all levels of the organization, increases the possibility of capturing market opportunities and maximizing value for our customers and shareholders. Prysmian bases its decisions on principles of equality, with evaluations based on the type of position and with a focus on best practices so individuals succeed based on their efforts and skills and their alignment with applicable job requirements. Line Mangers, Hiring Managers, HR Corporate and HR Local are responsible for ensuring that diversity and inclusion are respected during the recruiting process. Unconscious bias and stereotypes must not influence our selection processes. We look for the best candidates and for the real value they can bring into the organization. We value meritocracy. We value diversity. We turn off our bias. All persons shall have the opportunity to be considered for employment without regard to their race, color, religion, national origin, ancestry, alienage or citizenship status, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, disability, military service and veteran status, pregnancy, childbirth, and related medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know.
Prysmian , as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.
All Managers and HRs in Prysmian are responsible for ensuring DE&I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.
Visit our
DE&I Page to learn more about Prysmian’s commitments.
Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know.

• Design, develop, and maintain scalable ETL/ELT pipelines for both batch and real-time processing.
• Implement data ingestion and transformation workflows for structured and unstructured data.
• Ensure data quality through cleansing, validation, and anomaly detection.
• Apply parallel computing techniques to optimize data storage, retrieval, and processing for efficiency, scalability and performance.
• Implement best practices for data governance, security, and compliance.
• Develop and implement machine learning models to generate business insights.
• Analyze large datasets to extract actionable intelligence and support data-driven decision-making.
• Collaborate with business stakeholders to translate needs into data solutions.
• Deploy and monitor models in production, ensuring performance and reliability.
• Leverage Prysmian Data Platform for building robust analytical solutions.
• Follow MLOps best practices, ensuring reproducibility and maintainability of machine learning models