CBTW

Data Engineer

CBTW

full-time

Posted on:

Location Type: Hybrid

Location: Heidelberg • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

CloudETLIoT

About the role

  • Development and implementation of Business Intelligence strategies.
  • Managing projects from planning and conceptual design through to the realization of (Big) Data architectures, process pipelines, machine learning and analytics solutions.
  • Optimizing existing BI and Big Data landscapes and implementing a variety of data structures and processes.
  • Acting as the interface between operational business units and technical development.
  • Developing modern data lake approaches, exploring new technologies, and supporting clients in the build-out of on-premises, cloud and IoT architectures.

Requirements

  • Degree preferably in Computer Science (or Business Informatics), Mathematics (or Business Mathematics), Statistics, Physics, or a comparable field of study.
  • 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 discussions, defined career paths, career committees, online training catalog, and international collaboration with diverse cultures.
  • Work–life balance: Room for your personal life planning - sabbatical, remote working 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, and Christmas parties.
  • Networking: Connect with international colleagues - communities, lunch breaks, internal know-how sessions.
  • Culture of learning from mistakes: Try things out and learn from failures - we give you space to work with the latest technologies.
  • Bonuses: Numerous rewards for additional engagement.
  • Additional benefits: Digital mobility budget, Corporate Benefits, company bike schemes, Deutschlandticket (public transport pass), occupational health management.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Business IntelligenceBig Data architecturesData EngineeringData WarehousingETLELTAnalyticsData ScienceMachine LearningData Lake
Soft skills
Project ManagementCommunicationInterpersonal SkillsClient SupportCollaboration