Software Engineer (m/w/d)

Are you in search of a meaningful and rewarding career path?

We are currently looking for a Software Engineer (m/w/d) with Data Engineering experience to join our team. This is a temporary project for 6 months, where you will have the opportunity to develop and build a single-entry data site with market data and segmentation for the Server Platform. If you have strong programming skills and a passion for combining data with software engineering, we encourage you to apply today!

• Collect the requirements for the data site and key metrics of interest for the team
• Assess existing data sources and metrics available which can be used to achieve the objectives and implement the ones missing
• Improve the data collection and aggregation pipelines to make them more efficient and reliable, as well as expanding the existing data and drilldowns
• Implement a set of dashboards demonstrating Server Platform efficiency state and changes over time covering internal and end-users’ jobs, resource usage, utilization, on platform vs. off platform comparison, and more
• Extend the dashboards coverage for other quality dimensions including reliability, productivity, and compliance
• Implement a set of product-specific dashboards providing adoption and impact data

Company details

We are looking for candidates who have a strong technical background combined with an analytical mindset. The ideal candidate should have experience in distilling analysis into clear data visualizations and business insights. Additionally, debugging and scripting skills are essential to troubleshoot program code or technical issues.

If you are ready to take your career to the next level by joining our team as a Software Engineer in Zürich, apply today! This is a great opportunity to work on an exciting project while advancing your skills in software engineering and data analytics. Duration: ASAP - 6 Months, temporary contract. Onsite Work Schedule: Hybrid - Tue/Wed/Thu in office

Candidate’s Profile

• Bachelor’s degree or equivalent practical experience
• Experience with Data structures and algorithms, database languages such as SQL with focus on Automation, Managing Data, and Building Pipelines
• Experience in applied Machine Learning / Data Science including data collection, cleaning, analysis, and feature engineering will be a plus
• Strong skills in scripting languages
• Candidate should be comfortable with command line and using different stages/environments to test/deploy (personal, dev and production)
• Fluent in English