Data Analytics Engineer

Tasks

You will play a central role in defining and maintaining the data pipeline (Ingew) - Using your technical and analytical skills, you will perform ad hoc data analyses and further develop an internal dashboard - You will contribute to the integration of external data sources - By collaborating with our data scientists, business analysts, and other stakeholders, you will fulfill their data analysis needs and address complex questions

Requirements

- You have successfully completed a degree (university/ETH, HF) in Data Engineering, Computer Science, Computer Engineering, or a comparable field - You have in-depth knowledge of the entire data pipeline and are able to manage code in Git - You use a wide range of tools and techniques to present data and insights - You possess analytical and conceptual skills and are a driven quality advocate - You have a solid general understanding of statistics, machine learning, deep learning, and generative AI - You are regarded as an empathetic, respectful, and reliable person - You are empathetic, appreciative, and reliable; you have strong communication skills and are eager to share your knowledge with a healthy dose of tenacity and perseverance - You are able to convey your opinions clearly and concisely

We offer

- The openness and transparency of a universal bank - Hybrid, partially remote work arrangements - Flexible working hours with a flexible remote work model - Exceptional family allowance - Attractive retirement plan - Discounted stock purchase - Events at partner companies - Time-based pension plan: We provide educators with a fair pension plan - Sign-on bonuses for employees - Family-friendly: Up to 20 weeks of maternity leave and 15 days of paternity leave during the summer