Atos is a global leader in digital transformation with 110,000 employees in 73 countries and annual revenue of € 12 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos|Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index.
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.
Work within an Agile development supporting full-stack engineers and DevSecOps experts to ensure effective data delivery
Identify methods to optimize data flow and ingestion
Establish and maintain large, complex data sets that meet functional / non-functional business requirements
Collaborate with the Enterprise Architect, Solution Architect, and Technical Lead to resolve data-related technical issues
Design data processing systems
Work with data scientists to build data analytics capabilities that innovative new products require
Ensure data privacy and sovereignty requirements are considered for each solution
You will be working with state-of-the data engineering tooling from the Atos and client ecosystems
Be a part of multi-disciplinary teams with strong capabilities spanning business consulting, client engagement, deal-making, and solution architecture, data engineering, and developers.
Deliver the full detailed solution to the client.
+3 years of experience as a Data Engineer
Good understanding of industry trends and methodologies used in the Cloud environment (Google Cloud, Azure, AWS)
Minimum B.A. – preferably M.A. from relevant areas (technical, IT, mathematical, econometrics, data science, quantitative methods, physics),
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with stream-processing systems: Apache Storm, Apache Spark, etc.
Experience with object-oriented/object function scripting languages: Python, Java, R
Training and Certifications in the Data Engineering field are highly desirable
Fluent in English and ideally another European language especially French, German, Spanish.
International mobility to serve our global clients and work with our teams in London, Paris, Munich, Amsterdam, Geneva, Madrid (50-100%)
EU work permit is a must
Location: anywhere in Poland close to an international airport. Warszawa, Wrocław or Kraków, Łódź, Bydgoszcz
Here at Atos, we want all of our employees to feel valued, appreciated, and free to be who they are at work. Our employee lifecycle processes are designed to prevent discrimination against our people regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. Across the globe, we have created a variety of programs to embed our Atos culture of inclusivity, and work hard to ensure that all of our employees have an equal opportunity to contribute and feel that they are exactly where they belong.