Intern Data Engineer / Data Scientist Finance (m/f/x)

Textron

Bonn

Sur place

EUR 13 000 - 20 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Casual dress code
Parking spaces
Subsidized canteen
Discounted gym memberships

Résumé du poste

Kautex Internship in Data Engineering/Data Science for Finance in Bonn offers hands-on experience in building data pipelines, BI products and automation across global functions. You will work on data collection, processing and exploratory analysis, moving from descriptive to predictive insights.

As part of a global finance team, you will collaborate with multiple units, gain exposure to MS Power Platform, Azure and SAP tools, and contribute to data governance and innovation initiatives.

Qualifications

  • Student in one of the following areas: Data Engineering, BI Engineering, Computer Science, Data Science, Data Analytics or similar
  • Good analytical skills, problem solving aptitudes and project management experience
  • Experience in working with MS Power BI, MS Power App, MS Azure, SAP, Oracle and MS Office, especially Excel/VBA
  • Fluent English speaking and written language skills
  • Enjoy learning, new experiences and personal development
  • Drive your own success story through technical and leadership development

Responsabilités

  • Develop data pipelines and BI products to automate recurring tasks across functions
  • Build data platforms and exploration for predictive and analytical modeling
  • Create information from diverse sources for management decisions
  • Collaborate cross-functionally using MS Power Platform and web apps

Connaissances

Analytical skills
Team collaboration
Programming experience
English proficiency

Formation

Student in Data Engineering / related field

Outils

MS Power BI
MS Power App
MS Azure
SAP
Oracle
MS Office / Excel VBA

Description du poste

Job Description - Intern Data Engineer / Data Scientist Finance (m/f/x) (344645)

Intern Data Engineer / Data Scientist Finance (m/f/x) (Job Number:344645 )

Kautex is a global company with over 30 plants in 13 countries. As a leading Tier One automotive supplier, we are a pioneer in the design and manufacturing of plastic fuel systems and beyond. From battery enclosures for use in hybrid and full battery electric vehicle applications to autonomous cleaning systems, we are advancing solutions for the era of new mobility. Our portfolio also covers high-quality industrial packaging and cast camshafts. Embracing the transformative venture, Kautex is part of a network of global businesses, offering some of the most advanced technologies and services the world has ever seen.

We foster career growth, drive groundbreaking talent programs, and champion equal opportunities and sustainability in our business practices and products. By working together as one team and supporting one another, amazing things happen. We push the boundaries of what’s possible, soar to new heights and reach for the extraordinary, being recognized by prestigious awards such as Fair Company, Great place to work (Silao), MINT minded company, or Ecovadis Platinum. We look forward to getting to know you and sharing more about our values and local benefits.

What awaits you:

  • Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research & development, innovation, global operations, financial consolidation, planning and analysis
  • Demonstrate and build your expertise in RPA, bots, data governance and programming by achieving data collection, combining, processing and exploratory analysis as well as in shifting the line of sight from descriptive to the development of predictive and adaptive models and their validation
  • Excel and grow your successful track record of building data pipelines, data platforms and combining data to create useful information from various sources and process it into analytical data sets for management decisions
  • Experience and strengthen cross-functional and cross-cultural global collaboration and communication skills by effectively sharing financial and non-financial information across the organization using MS Power Platform and web applications

What you’ll need to succeed:

  • Student in one of the following areas: Data Engineering, BI Engineering, Computer Science, Data Science, Data Analytics or similar
  • Good analytical skills, problem solving aptitudes and project management experience
  • Experience in working with MS Power BI, MS Power App, MS Azure, SAP, Oracle and MS office, especially Excel/ VBA
  • Enjoy working in a team and able to work with cross-functional, multi-national teams
  • Fluent and hands-on coding experience in at least one programming language
  • Fluent English speaking and written language skills
  • Enjoy learning, new experiences and personal development
  • Drive your own success story through technical and leadership development
  • Diverse global team with opportunities for cross-functional experiences
  • Challenging work assignments and learning opportunities
  • Competitive pay
  • Casual dress code, parking spaces, subsidized canteen
  • Possibility of discounted membership of gyms and other sports partners
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