Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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