[Hiring] Data Engineer @Atos

Role Description

Do you enjoy solving data challenges using Python or SQL? Are you passionate about modern open-source tech and working in cloud environments? If you're eager to collaborate with experienced professionals and build impactful data solutions, we’d love to hear from you.

As a Data Engineer , you'll play a key role in transforming raw data into valuable insights. You’ll design and optimize data pipelines, tackle complex data problems, and help build scalable, production-grade data systems. Think of it as turning raw materials into something powerful - except your tools are code, cloud, and AI.

Qualifications

• Proficiency in Python and SQL.
• Experience working with cloud platforms (Azure, AWS or GCP) is an advantage.
• Interest in building and maintaining data pipelines and working with large datasets.
• A collaborative mindset and a desire to learn from and contribute to a skilled team.
• You must be legally authorized to travel and work across the EU as required for client engagements.

Requirements

• Work on real-world challenges across diverse industries like banking, insurance, manufacturing, pharmaceuticals, and e-commerce.
• Use a wide range of customer data sources, including call center logs, customer segmentation data, IoT sensors, and web analytics.
• Tech stack includes Python, SQL, Pandas, PySpark, Databricks.
• Deploy on Azure, AWS, and Google Cloud Platform.
• Work in small, focused teams (2–5 people) with agile workflows.

Benefits

• The chance to work on exciting, AI-powered solutions that make a real difference.
• A collaborative environment where learning and professional growth are a priority.
• Flexibility, remote work options, and a supportive team culture.
• Full-time and part-time options available, with part-time roles starting from 24 hours per week.