Lead Data Platform Engineer

Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 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 Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group 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.

Atos is a global leader in digital transformation with approximately 78,000 employees and annual revenue of €10 billion. As the European number one in cybersecurity, cloud, and high-performance computing, Atos provides tailored end-to-end solutions across all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to delivering secure and sustainable digital solutions for its clients. Listed on Euronext Paris as a Societas Europaea (SE), Atos supports the development of knowledge, education, and research through a multicultural approach, contributing to scientific and technological excellence worldwide.

We are seeking an experienced Lead Data Platform Engineer to design, build, and optimize large-scale data platforms that enable advanced analytics and data-driven decision-making. This role involves leading technical initiatives, mentoring team members, and collaborating with cross-functional stakeholders to deliver secure, scalable, and high-performance data solutions.

• Design and Implement Data Platforms: Architect and maintain robust, scalable data platforms using modern technologies.
• Develop and Optimize Pipelines: Build automated ETL/ELT pipelines for structured and unstructured data.
• Cloud Integration: Implement and manage solutions across AWS, Azure, and GCP environments.
• Big Data Processing: Utilize Spark, Hadoop, and Databricks for distributed data processing.
• Data Warehousing: Design and optimize data warehouses using Snowflake and BigQuery.
• Data Modeling & Governance: Define data models, enforce governance, and ensure compliance with security standards.

• 7+ years in data engineering, including leadership or architect-level experience.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Strong proficiency in Python, Java or Scala, and SQL.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and data warehousing (Snowflake, BigQuery).
• Expertise in big data frameworks such as Spark, Hadoop, and Databricks.
• Proven ability to design and optimize ETL/ELT pipelines and data models.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Knowledge of data governance, security standards, and compliance (e.g., GDPR).
• Strong problem-solving, communication, and team leadership skills.
• Fluent in Dutch (C1 level) and English.
• Willingness to travel and work at client locations.

• Participation in exciting consulting projects with room for innovation. Work on end-to-end digital and data transformation projects across various sectors, with impact from start to finish.
• Excellent career opportunities in a global organization, including international mobility.
• Personal and professional growth through certified training and access to the latest technologies.
• Competitive salary, year-end bonus, and pension scheme.
• 29 vacation days per year.
• Flexible and hybrid working arrangements.
• An energetic and supportive team culture that values diversity.