PROC25115 1 2 - RFQ for Data Engineer

Descrição da empresa

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Descrição do emprego

Job Description:

We're a dynamic team responsible for providing data-related tools to our Bankers, meeting their daily needs and helping them solve complex problems. Our work involves multiple stages of data processing, including: data feeds industrialization, ETL, data warehousing and data visualization.

About the Role:

We're seeking a skilled Data Engineer with experience in Python and ETL processes to deliver high-quality data tools and support our business. As a Data Engineer, you will play a critical role in:

• Designing and developing data tools to meet business needs.
• Collaborating with clients to understand their requirements and translate them into data requests.
• Ensuring effective communication and collaboration with clients to meet their expectations.
• Collaborate with stakeholders to identify opportunities for process improvement and enhancement.
• Automate processes end-to-end for increased efficiency.

Qualificações

Main Tasks:

• • 3+ years of experience with Python and ETL processes.                                                
  • Strong understanding of data processing and data visualization concepts.                                                          
  • Experience in building and designing dashboards in PowerBI.l                                                  
  • Understanding of dabase management principles.                                                         
  • Ability to comprehend business requirements and translate them into data requests.                                                   

Technical Skills:

• • Python                                               
  • PySpark                                                             
  • PowerBI                                                             
  • SQL                       

Language Skills:

• • English - Mastery

Soft Skills

• • Excellent communication and collaboration skills.