DATA ENGINEER
Remote Home, US
About Atos Group
Atos Group is a global leader in digital transformation with c. 70,000 employees and annual revenue of c. € 10 billion, operating in 67 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Key Responsibilities * Design, build, and maintain ETL/ELT pipelines that deliver clean, reliable data from multiple sources into Snowflake. * Develop and maintain data models and transformations using DBT, ensuring accuracy, scalability, and maintainability. * Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and ensure consistent data definitions. * Implement data quality checks, documentation, and version control across data pipelines and models. * Optimize data warehouse performance, storage, and cost efficiency within Snowflake. * Support integration of third-party data sources and APIs into the data platform. * Troubleshoot data inconsistencies, pipeline failures, and performance issues in a proactive manner. * Collaborate with DevOps and Cloud teams to maintain a secure, compliant, and scalable data infrastructure. Qualifications required: * Bachelor’s degree in computer science, Information Systems, Engineering, Mathematics, or a related field, or equivalent experience. * 3–5+ years of experience as a Data Engineer or in a similar data-focused role. * Hands-on experience with DBT, including building modular data models, managing macros, testing, and documentation. * Strong experience with Snowflake, including schema design, performance tuning, and security configuration. * Proficiency in SQL and experience optimizing complex queries. * Experience with cloud platforms (Azure) and orchestration tools such as Airflow, or Data Factory * Understanding of data warehouse architecture, data governance, and best practices for ELT. * Preferred: * Experience integrating data from SaaS platforms (Salesforce). * Familiarity with Python or other scripting languages for data automation. * Exposure to CI/CD pipelines, Git-based workflows, and modern data stack tools. * Knowledge of BI tools such as Power BI, or Tableau.