Data Engineer 80-100%
Yousty
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, German, Swiss GermanJob location
Tech stack
API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Azure
Google BigQuery
Data Infrastructure
Data Integration
Data Systems
Relational Databases
Linux
Google Analytics
Python
Linux Servers
Machine Learning
Automation of Marketing
Cloud Services
Standard Sql
Data Processing
Google Cloud Platform
Sysadmin
Large Language Models
Hubspot
Data Pipelines
Job description
Join us as a Data Engineer to connect youth and businesses in Switzerland. Enjoy a collaborative work environment with a meaningful impact.
Tasks
- Enhance our Data Platform using BigQuery and Google Cloud.
- Develop and maintain data integrations with various systems.
- Manage end-to-end data projects and provide analytics insights., * Operation and further development of our data platform (BigQuery, dbt, Airflow on Google Cloud)
- Building and maintaining data integrations to internal and external systems (HubSpot, Metasfresh, Customer.io, GA4, association and customer interfaces)
- End-to-end management of data projects: requirements, design, implementation, operation
- Data modelling and maintenance of data pipelines
- Analyses and evaluations for the specialist departments, visualisation in BI tools
- Application of Machine Learning, LLMs and AI where they create impact
- Consulting and coaching of the specialist departments to ensure data-driven decisions are implemented in daily work, * Modern and flexible tool stack (Python, dbt, Google Cloud Services, Gemini, Anthropic)
- Exciting data case with direct impact on society: your work helps young people in Switzerland find their way into the professional world
- Close proximity to the business and short decision-making paths in a specialised team
- Great freedom to implement things
- Workplace at Zurich main station, home office and flexible working
- Flat hierarchies and a young, motivated team
Requirements
- Proven experience in data solutions and architecture.
- Strong Python and SQL expertise is essential.
- Excellent communication skills in German and English., * Several years of experience in building data solutions (architecture, engineering)
- Very good Python and SQL skills
- Experience with relational data models, cloud services (Google Cloud, AWS or Azure) and data processing tools (e.g. Airflow, Linux)
- Experience with API interfaces
- Structured, precise working style with an eye for the big picture
- Strong communication skills in German and English, understanding of Swiss German
- Proactive personality who also solves problems they were not originally responsible for
It is a plus
- Experience with dbt and BigQuery
- Experience with event-based architectures
- Experience with predictive analytics, machine learning or LLM-based applications
- Knowledge of Martech solutions (CDP, marketing automation, tracking)
- Sysadmin know-how for Linux servers