About the Company
Atos Group is a global leader in digital transformation, operating in over 68 countries with approximately 78,000 employees and annual revenue of €10 billion. The company is the European leader in cybersecurity, cloud, and high-performance computing, delivering tailored end-to-end solutions across industries. Atos Group focuses on secure, sustainable, and decarbonized digital solutions, supporting knowledge, education, and research worldwide through a multicultural approach. Listed on Euronext Paris as a Societas Europaea (SE), Atos combines technological expertise with a commitment to scientific and societal advancement.
About the Role
The Lead Data Platform Engineer role focuses on designing, building, and optimizing large-scale data platforms to enable advanced analytics and data-driven decision-making. The position involves leading technical initiatives, mentoring team members, and collaborating with cross-functional stakeholders to deliver secure, scalable, and high-performance data solutions.
Key responsibilities
- Architecting and maintaining robust, scalable data platforms using modern technologies.
- Developing and optimizing automated ETL/ELT pipelines for structured and unstructured data.
- Implementing and managing solutions across cloud platforms (AWS, Azure, GCP).
- Utilizing big data frameworks, including Spark, Hadoop, and Databricks, for distributed processing.
- Designing and optimizing data warehouses using Snowflake and BigQuery.
- Defining data models, enforcing governance, and ensuring compliance with security standards.
- Leading technical initiatives and mentoring team members.
- Collaborating with cross-functional teams to deliver high-quality, end-to-end data solutions.
Requirements
- 7+ years of experience 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 technologies (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) and English.
- Willingness to travel and work at client locations.
Benefits
- Participation in end-to-end digital and data transformation projects across various sectors.
- Opportunities for innovation and professional growth in a global organization.
- International mobility and career advancement opportunities.
- 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.