Senior Data Engineer (m/w/d) at Atos | Düsseldorf, DEU | Rezi

Senior Data Engineer (m/w/d) at Atos

Senior Data Engineer (m/w/d)

Atos · Düsseldorf, DEU

1 months ago

Senior Data Engineer (m/w/d)

Atos · Düsseldorf, DEU

a month ago
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About the Role

Bull is a company with a century of European innovation, developing high-performance, sustainable, and sovereign digital solutions. We focus on High Performance Computing, AI, and Quantum Technologies, pushing the boundaries of what's technologically possible. Our teams are globally connected, driven by a vision of responsible and sustainable innovation that creates measurable value for our clients.

Responsibilities

  • Qualify tenders from a technical perspective during pre-sales activities, analyze customer requirements, check feasibility, and support offer creation for standard elements with advanced complexity.
  • Support new project acquisition, lead workshops, and proactively identify optimization and business opportunities in ongoing projects.
  • Participate in subsequent sales activities.
  • Communicate at the technical department level of the client.
  • Lead sub-projects and adhere to effort requirements according to project specifications within a task area.
  • Work on the implementation of solution components or functional modules of data analytics architectures within projects.
  • Participate in conception, design, implementation, testing, and consulting.
  • Support the implementation of solution components or functional modules.

Requirements

  • Bachelor's degree or equivalent.
  • Many years of professional experience (at least 5 years in the field).
  • Very good knowledge of MS Office products (Excel, Word, PowerPoint, etc.).
  • Very good communication skills in at least German and English.
  • Teamwork, entrepreneurial thinking, independence, and motivation.
  • Enjoy working in a team and independently developing new topics.

Skills

  • Python (e.g., pandas, numpy)
  • SQL
  • Jupyter
  • PySpark
  • Databricks
  • Spark
  • Data Warehousing
  • Data Engineering
  • Big Data
  • MLOps
  • AWS
  • Azure
  • GCP
  • Computer Vision

Location

  • nationwide locations

Work Type

  • mobile work

Experience Level

  • minimum 5 years

Education Level

  • Bachelor or comparable

Benefits

  • Freedom and autonomy
  • Opportunity to contribute to world-changing products, projects, and services
  • Modern, agile working methods
  • Innovation and growth environment
  • Continuous learning and development opportunities
  • National and international employee network support
  • Trust and care
  • Support for individual and team growth
  • Health and sustainability focus
  • Well-being prioritized
  • Flexible working hours
  • 30 days paid annual leave
  • Opportunity for mobile work
  • Inclusive agreement for a barrier-free work environment
  • Attractive salary
  • Additional social benefits

About the Company

  • Bull stands for a century of European innovation.
  • We are part of a future-oriented work environment.
  • Our experts develop high-performance, sustainable, and sovereign digital solutions.
  • We enable states and industries to maintain full control over their data and Artificial Intelligence.
  • What defines Bull are the people: thousands of engineers, researchers, and passionate tech experts actively shaping the future of High Performance Computing, AI, and Quantum Technologies.
  • Our teams push the boundaries of the technologically possible daily, from next-generation HPC architectures to Exascale supercomputers.
  • We benefit from excellent research and development, over 1,600 patents, and unique end-to-end expertise across the entire value chain: from hardware design to software engineering, data science, and quantum research.
  • At Bull, employees and innovation are at the center.
  • Collaboration knows no boundaries – our teams are networked in Europe, North and South America, and India.
  • We are united by a common vision: responsible and sustainable innovation that creates real, measurable added value for our customers.
  • We work with structured and unstructured data (online and offline data such as payment transactions, call center calls, etc.) and help our customers understand their data correctly.
  • Project teams typically consist of 2-5 people (analysts, engineers, data scientists, project managers) working on both long-term projects and shorter "pilots".
  • The results of our work optimize business-critical functions for our clients and have a direct impact on their economic success.
  • We use predictive models to improve the world of online communication, monitor the quality of shelf placement with state-of-the-art computer vision, and work on fraud detection.

Equal Opportunity

  • We welcome your application regardless of origin, religion, color, gender, age, disability, or sexual orientation.
  • All decisions during the entire recruitment process are based exclusively on qualifications, skills, knowledge, and experience, as well as relevant business requirements.
  • We value equal opportunities and welcome applications from people with disabilities.
  • In case of equal qualification, severely disabled applicants and persons with equivalent status will be given preferential consideration.