Data Engineer

Company Description

Inetum is a European leader in digital services. Our 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.

In response to a market that has been growing steadily for more than 30 years, Inetum has deliberately chosen to refocus on 4 core businesses in order to gain strength and offer customised solutions tailored to the specific needs of its customers: consulting (Inetum Consulting), infrastructure management and custom applications (Inetum Technologies), software package implementation (Inetum Solutions) and its own software publishing business (Inetum Software). Inetum has forged strategic partnerships with 4 of the world's leading software publishers - Salesforce, ServiceNow, Microsoft and SAP - and is pursuing a dedicated acquisition strategy to become one of Europe's top 5 in these technologies and offer the best expertise to its customers.

All our positions are open to people with disabilities.

Job Description

In Sophia-Antipolis, at the heart of Europe's leading technology park, we're looking for an English-speaking Data Engineer to work in an agile and international environment.

The projects are cross-functional, offering a dynamic and challenging environment.

Mission : Data Engineer

We are looking for an experienced Data Engineer, with 3 years’ experience, to join the Data Engineering Team.

The department's mission is to support organization to make data available to all teams and enable them to take well-informed data-driven decisions

Main responsibilities :

You will be in charge of designing and developing data driven solutions.

• Design, develop, optimize, maintain and support the operation of data products
• Manage and optimize databases to ensure high performance and data integrity
• participate to the adoption of Cloud and data engineering best practices.
• Responsible of platforms stability
• Participate to the data assets migration to the public Cloud using Microsoft Azure, Databricks and other technologies
• Supporting teams’ activities (collaboration, data readiness and industrialisation initiatives)
• Participate in the validation phase of the product cycle

Qualifications

Skills / qualifications :

• English speaking (mandatory)
• Master’s degree
• 3 years of experiences working in data engineering role
• Professional experience in Scala development (mandatory)
• You are familiar with : Spark, Databricks 
• Nice to have : knowledges/experiences Microsoft Azure