Senior Data Engineer working with data systems and analysis for shopping apps. Aligning data architecture with business goals in a hybrid work environment.
Responsibilities
Analyze and organize raw data from millions of active users
Build, maintain and operate data systems and pipelines on AWS
Evaluate business needs and objectives, map them to requirements
Strategically align data architecture with company needs and goals
Detect, investigate and interpret data trends and patterns
Conduct complex data analysis and report on results
Requirements
Professional experience in Data Engineering using cloud platforms (AWS strongly preferred)
Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture
Strong Software Engineering skills and expertise with data mining and analytics
Knowledge of programming languages (e.g. Scala, Python, Java)
Experience with Apache Spark and Hadoop is highly desirable
Knowledge of business intelligence tools (e.g. QuickSight, Adverity, Looker) is of advantage
Hands-on experience with SQL database design
Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering
Great numerical, analytical and statistical skills
A degree in Computer and/or Data Science would be an advantage
Business fluent in English, preferably German as well
Benefits
A young and rapidly evolving company that empowers employees to make decisions and actively shape our success
Flexible working hours with the option to work from our offices in Zurich or Basel, as well as partially from home
Regular team and company events in an environment that actively fosters team spirit
Environmentally friendly travel options, including a discounted public transport pass (Halbtax) for your commute
Many cool perks, such as a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much more!
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