Mission

• Lead the design and implementation of scalable data processing pipelines
• Guide the development of Machine Learning algorithms and microservices using Scala and Spark
• Oversee data exploration, parsing, and transformation activities
• Conduct technology watch and recommend tools to optimize the solution
• Collaborate with cross-functional teams including data scientists, developers, and architects
• Ensure high-quality deliverables and adherence to project timelines

Profile

• Proven technical leadership and expertise in data engineering
• Relevant project references and domain experience
• Quality and clarity of the proposed approach
• Ability to manage complex environments and ensure successful delivery
• Realistic planning and resource allocation
• Programming & Scripting: Shell (Unix), Perl, PHP, Python, Git, GitHub
• Big Data & Processing: Scala, Spark
• Databases: PostgreSQL
• Search & Visualization: Elasticsearch, Kibana
• Strong experience in leading technical teams and delivering complex data solutions

Benefits

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and trainings to sustain your growth
• Medical subscription
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings

Organization

About Inetum

Inetum is a European leader in digital services. Inetum’s team of 27,000 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 2.4 billion euros in 2024.
For further information, please visit www.inetum.com