Hybrid Data Engineer

Posted 2 months ago

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About the role

  • Data Engineer developing Business Intelligence strategies for a global consultancy at CBTW. Collaborating on data architectures, machine learning, and analytics solutions while working in a hybrid model.

Responsibilities

  • Develop and implement Business Intelligence strategies.
  • Work on projects from planning and design through to the implementation of (Big) Data architectures, process flows, machine learning and analytics solutions.
  • Optimize existing BI and Big Data landscapes and implement a variety of data structures and processes.
  • Serve as an interface between operational business units and technical development.
  • Develop modern data lake approaches, explore new technologies, and support clients in building on-premise, cloud and IoT architectures.

Requirements

  • Degree preferably in (business) computer science, (business) mathematics, statistics, physics or a comparable field.
  • Nice-to-have: Experience in data engineering, data warehousing, big data architectures, ETL/ELT, business intelligence, analytics and/or data science.
  • Business-fluent German and English.
  • Willingness to travel within the DACH region.

Benefits

  • Onboarding: Networking from day one - Welcome Day, welcome drink, mentoring program.
  • Development: Individual support for your strengths - regular feedback meetings, career paths, career committees, online training catalog, and international work with diverse cultures.
  • Work-life balance: Room for your life planning - sabbatical, remote work from abroad, flexible working models, parental leave programs, 30 days' vacation, Baden-Württemberg public holiday calendar.
  • Sustainability: Our work has a positive impact on the environment and society - we make our solutions and collaboration more sustainable every day.
  • Events: Professional and social events - summer tech event, local afterworks, sports events, team events, Christmas parties.
  • Networking: Connect with international colleagues - communities, lunch breaks, internal know-how sessions.
  • Culture of learning from mistakes: Try things and learn from failures - we give you space to work with the latest technologies.
  • Bonuses: Various bonuses for additional engagement.
  • Additional benefits: Digital mobility budget, corporate benefits, company bike, Deutschlandticket (regional public transport pass), occupational health management.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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