About the role:
You will work with a self-organized agile team. You’ll be mentored and guided by your fellow engineers, attend communities of practice forums, and have the opportunity to grow in a continuous learning environment.
The person we’re looking for? That’s you!
You have basic experience with SQL; You have basic experience with Python or R; You can survive on a linux box/command prompt or jupyter notebook; You’re passionate about technical excellence and experimentation; You’re a builder and you want to impact the world around you. So you need to get stuff done. You’re optimistic, have a high self-worth, you speak your mind and have strong empathy for your peers. More of a team player than a lone wolf.
What will you explore?
As a data engineer:
DWH, BI, data modeling, and data quality processes; real use cases for both ELT/ETL and also batch and streaming data flows; how to interact with APIs and message brokers; The GCP stack like BigQuery, Cloud Storage, Cloud Functions, Secret Manager, CI/CD; Problem-solving. Fail fast, Learn, Iterate; standard coding styles, code reviews, unit tests, documentation, refactoring, good naming;
As a data scientist:
Data Analysis and Visualization Building data pipelines, data wrangling, and feature engineering Statistical methods, Machine Learning, and Optimization Algorithms Building end-to-end, data-driven applications Deployment in Google Cloud
Continuous learning. Playful mood. Punching bag. Specialty coffee. Did we mention continuous learning? Hipster mansion near Cismigiu. We’re hosting meetups and we’re going to conferences. Lounge chairs in the garden. Experienced engineers doing no-bullshit work. Macbooks and fancy dev tools.
The opportunity to experience not another job, but to be in the front face of launching new products, learn start-up challenges and touch millions of people.
- These days visiting the office is optional. We work from home as much as we can to stay safe.