We build the perfect shopping companions!
We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time : during the planning and execution of their household shopping.
About this role
You will use various methods to transform raw data into useful data systems. For example youll create algorithms and conduct statistical analysis. Overall youll strive for efficiency by aligning data systems with business goals.
The role includes the following :
- 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
We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with substantial experience in Data Engineering.
You are the right fit if you have :
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 architectureStrong Software Engineering skills and expertise with data mining and analyticsKnowledge of programming languages (e.g. Scala Python Java)Experience with Apache Spark and Hadoop is highly desirableKnowledge of business intelligence tools (e.g. QuickSight Adverity Looker) is of advantageHands-on experience with SQL database designUnderstanding experience and interest in the possibilities of emerging AI tooling and practices in software engineeringGreat numerical analytical and statistical skillsA degree in Computer and / or Data Science would be an advantageBusiness fluent in English preferably German as wellBenefits
At Bring! Labs we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally we provide :
A young and rapidly evolving company that empowers employees to make decisions and actively shape our successFlexible working hours with the option to work from our offices in Zurich or Basel as well as partially from homeRegular team and company events in an environment that actively fosters team spiritEnvironmentally friendly travel options including a discounted public transport pass (Halbtax) for your commuteMany cool perks such as a day off on your birthday top-notch barista-quality coffee the latest hardware home office subsidies and much more!We welcome applications regardless of nationality ethnic background age sexual orientation gender disability or family situation. We also encourage applications from individuals returning to the workforce.
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Employee
Experience : years
Vacancy : 1