Data Engineer

Milano PPL

Prysmian Group

Welcome to Prysmian: the world leader in cable manufacturer, energy solutions, telecom cables and systems industry. Find out more!

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Prysmian is a global cabling solutions provider leading the energy transition and digital transformation with 150 years of experience, about 30,000 employees, 108 plants and 26 R&D centers in over 50 countries.

Role Overview
Are you passionate about data engineering and ready to take your skills to the next level? We’re looking for someone who thrives on designing robust data pipelines, optimizing data quality, and collaborating with cross-functional teams.

 What You will do

  • Design and Optimize Data Pipelines:

    • Create efficient data pipelines that seamlessly move data from source systems to our modern data warehouse (Snowflake, Databricks).

    • Ensure data quality, security, and governance throughout the pipeline.
       

  • Infrastructure Management:

    • Set up and manage infrastructure components, including Virtual Machines, Networking, and Application Services (AWS and Azure).

    • Maintain data platforms, data stores, and distributed systems.
       

  • Data Integration and Transformation:

    • Extract, integrate, and organize data from various sources (databases, APIs, external systems).

    • Cleanse and transform data for analysis and reporting.
       

  • Collaboration:

    • Work closely with data scientists, analysts, and business intelligence teams to optimize models and algorithms.
       

What we are looking for
 

Education

  • Bachelor’s degree in computer science, data science, software engineering, or related quantitative field

Experience

  • At least 2 years of experience in data management, including data integration, modeling, and optimization.

Skills

  • Proficiency in modern data architectures (cloud services, data warehouses).

  • Strong knowledge of SQL and programming languages for data manipulation.

  • Proficiency in programming language as Python, R and/or Java, 

  • Knowledge in Unix/Linux Shell and PowerShell 

  • Fluent in english and strong communication skills to effectively work cross-collaborative

  • Knowledge in Big Data Tools such as Hive or Spark are a plus
     

Why join us?

If cutting-edge projects and collaboration with passionate data-driven professionals excites you - join us in shaping the future!
 

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: APIs Architecture AWS Azure Big Data Business Intelligence Computer Science Databricks Data management Data pipelines Data quality Data warehouse Distributed Systems Engineering Java Linux Pipelines Python R R&D Security Snowflake Spark SQL

Perks/benefits: Medical leave Parental leave

Region: Europe
Country: Italy

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