Key information
We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.
What you move
You independently own and deliver end-to-end data solutions - from integrating diverse data sources and modeling robust data objects, to conceptualizing and developing dashboards that enable data driven decisions across Customer Operations
You lead business-facing conversations with confidence - asking the right questions to uncover what stakeholders truly need, challenging assumptions where necessary, and turning requests into well-scoped, data-driven solutions
You act as a solution architect for complex analytics initiatives, turning business objectives into data solutions and owning the full cycle from discovery and requirements to implementation, quality, and stakeholder handover.
You align closely with software development teams on data requirements, models, and interfaces - ensuring a seamless flow of information between analytics and engineering
You actively contribute to improving team processes and tooling, identifying opportunities for automation, efficiency, and scalability in analytics workflows
What you will bring
3-5 years
Data Engineering
Completed degree (university / university of applied science / higher technical college)
English (Advantageous)
Several years of experience in analytics or data engineering, with strong SQL and Python skills; comfortable in environments where legacy and modern stacks coexist, taking a pragmatic approach to delivering value in both
Deep expertise in sustainable data modeling and complex pipeline design, using orchestration tools like Dataform or dbt; solid understanding of modern data architecture concepts such as Data Mesh, applied in real production environments
Strong analytical skills and proficiency in data visualization - whether building dashboards or conducting ad-hoc exploratory analysis; familiarity with statistical analysis and knowing when and how to apply the right tests is a plus
Strong grasp of business KPIs and processes, with the communication skills to guide stakeholders through ambiguous problems and advocate clearly for tradeoffs between business value and technical effort
Comfortable working in collaborative engineering workflows - Git, code review, CI/CD practices, and Scrum - treating data work with the same rigor as software development
Hands-on experience setting up, running, and evaluating A/B tests and familiarity with how ML models are built and deployed in production are a plus
Fluency in English, while German language is an advantage
Using creativity and initiative to solve problems and achieve goals
Think and act with an absolut respect of human dignity and being aware of the human consequences of your decisions
The benefits we offer
Werte statt blabla
Mutig selbst denken
Unkompliziert
Flexibilität statt verbiegen
Schnelles Wachstum
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Application and contact details
Maja Crljen
Information for recruitment agencies
Only direct applications will be considered for this position.