
10,000+ employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Atos is a global leader in digital transformation, providing a wide range of solutions and services across industries. The company specializes in cloud and infrastructure services, digital business platforms, technology consulting, and cybersecurity, with a focus on enhancing user experiences and supporting enterprise digital journeys. Atos is committed to sustainability and innovation, partnering with various organizations to drive digital advancements, such as its role as the official IT partner for the UEFA and the Olympic Games.
🕒 August 7
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10,000+ employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Atos is a global leader in digital transformation, providing a wide range of solutions and services across industries. The company specializes in cloud and infrastructure services, digital business platforms, technology consulting, and cybersecurity, with a focus on enhancing user experiences and supporting enterprise digital journeys. Atos is committed to sustainability and innovation, partnering with various organizations to drive digital advancements, such as its role as the official IT partner for the UEFA and the Olympic Games.
• Design and optimize data pipelines • Tackle complex data problems • Build scalable, production-grade data systems • Transform raw data into valuable insights • Work on AI-powered data solutions across banking, insurance, manufacturing, pharmaceuticals, and e-commerce • Collaborate in small focused teams with engineers, analysts, scientists, and PMs • Contribute to and learn from a skilled team
• Proficiency in Python and SQL • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform is an advantage • Interest in building and maintaining data pipelines • Experience or interest working with large datasets • Collaborative mindset • Desire to learn from and contribute to a skilled team • Must be legally authorized to travel and work across the EU as required for client engagements
• Flexible working • Remote work options • Full-time and part-time options available • Supportive team culture • Learning and professional growth prioritized • Opportunity to work on exciting, AI-powered solutions • Collaborative environment
Apply Now🕒 June 4
Lead Data Engineer overseeing the data engineering process at Deutsche Telekom IT Solutions Slovakia. Collaborating with teams and mentoring engineers to ensure efficient data management.
AWS
Azure
ETL
Hadoop
Kafka
NoSQL
Python
Spark
SQL
🕒 May 29
Lead Data Engineer overseeing data engineering process at Deutsche Telekom IT Solutions Slovakia. Managing data infrastructure and mentoring a team of data engineers.
AWS
Azure
ETL
Hadoop
Java
Kafka
NoSQL
Python
Scala
Spark
SQL