Scigility builds custom data services and products with a holistic offering that covers architecture, platform engineering, data engineering and implementation of ML applications.
Tasks
- Responsible for architecting Data & AI solutions on cloud and/or on-premises
- Creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solutions
- Implement security, encryption best practices for Data & AI environments
- Assist analytical and engineering teams in the design and implementation of high performance systems with large volume data integration processes, storage, processing and provisioning
- Technical Pre-Sales support
- Organize and manage complex customer projects with agile methods (scrum master and project leader)
- Degree in Computer science or equivalent
- Valid working permit for Switzerland
- Hands-on experience with data & AI applications (e.g. Hadoop stack, Kafka, Databricks, Azure Synapse, GCP AutoML, etc.)
- Firm understanding of major programming/scripting languages like Java, Linux, Python, Scala
- Experience in designing solutions for large data warehouses with a good understanding of clusters and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
- Experience with public cloud stacks: Azure, AWS, GCP
- Strong problem solving skills
- Excellent written and verbal communication skills
- Strong command of German and English
- Ability to work in a dynamic environment, be comfortable with changing priorities and tight deadlines, managing your own workload with minimum supervision
- Strong understanding of agile work frameworks such as SCRUM and/or SAFe
- Strong team member skills and capable of solving complex problems in a team approach
- Strong teaching and coaching skills
- Understanding of machine learning theory and practice
- Knowledge of container technologies (Docker, Kubernetes, OpenShift)
- Experience with data catalogue, data governance and data lineage practices and tools
Your Benefits
- Annual IT budget and home office equipment of your choice
- Flat company hierarchy, directly approaching colleagues is highly welcomed
- Possibility to work remotely
- Flexible working hours, high level of autonomy and individual responsibility
- You can invest up to 20% in further education on company costs
- Career framework with clear growth path
- Transparent salary structures and compensation incl. performance bonus
- A team of 20+ highly motivated engineers with diverse backgrounds
- A motivated and friendly environment, everyone just a chat message away to collaborate anytime
- High diversity and multiculturalism, equal opportunities
- Monthly company all-hands meetings to foster a positive team culture
