Data Engineer

vor 3 Wochen

Pfingstweidstrasse b, Schweiz Digitec Galaxus AG Vollzeit
About the Role

We are seeking a highly skilled Data Engineer to join our team at Digitec Galaxus AG. As a key member of our analytics team, you will be responsible for designing, developing, and managing efficient and clean datasets with coordinated business logic.

Your Responsibilities

  • Partner with Customer Operations Departments to understand and prioritize their data needs, collaborating closely to gather and translate business requirements into scalable and sustainable data solutions.
  • Develop and maintain dynamic dashboards and reports using tools such as Tableau, Reporting Services (SSRS), and Cubes (SSAS), ensuring they remain relevant and effective in supporting business monitoring, performance tracking, and process optimization.
  • Communicate with feature teams (software development) to align on data requirements, integration points, and progress updates, fostering a seamless flow of information and feedback between analytics and development teams.
  • Drive innovation by proposing and implementing advanced analytics solutions, focusing on enhancing the insights available to business partners and supporting data-driven decision-making across the Customer Operation Departments.
  • Collaborate with your team to continually refine and improve internal processes and tools, identifying opportunities for increased efficiency, automation, and scalability in analytics workflows.

Your Skills

  • Higher education degree in a technical or data-focused field or relevant work experience is required.
  • 1-3 years of practical experience in a similar role, excellent SQL, and good Python skills are essential (experience with BigQuery is highly advantageous).
  • Strengths include preparing, analyzing, and visualizing data, ideally with experience in Tableau, Reporting Services, and Multidimensional Models (Cubes).
  • Experience with sustainable data modeling and complex data pipeline design is important, with familiarity in using a data orchestration tool like dataform or dbt being a plus.
  • Affinity for processes and Business KPIs is essential, along with a willingness to visit colleagues in Customer Service and Returns departments to observe how reporting and analysis impact daily business.
  • Basic understanding of the steps involved in implementing Machine Learning algorithms is required.
  • Good German (at least B2) and English skills are mandatory.
  • Using creativity and initiative to solve problems and achieve goals.
  • Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness.
  • Prioritizing empathy and compassion in decision-making.

Why Join Us?

  • Culture is Everything: Our values-cooperative, innovative, piratesque, responsible, and ambitious-form the foundation of our journey. Culture isn't just part of what we do; it's the essence of who we are.
  • Courage and Unconventionality: Your courage and innovative spirit are valued here. We challenge conventional wisdom, embracing those who dare to think differently.
  • Uncomplicated: Simplicity is at our core. We avoid the unnecessary, focusing on what truly matters-your development, our collective achievements, and tackling challenges with adaptability and resilience.
  • Flexibility and Freedom: We believe that innovation and creativity thrive in an environment where flexibility and freedom are prioritized. We offer home office options, up to 8 weeks of workation, and every position is available from 80-100%.
  • Fast Lane Growth: With us, growth is a continuous journey. You'll have opportunities to expand your horizons, both personally and professionally. To support this, we offer all employees up to 2000 EDU points.
  • Other Benefits: Enjoy discounted employee conditions in our shops and much more.

We are looking forward to your application via our online application tool.

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