Competera uses Big Data and Deep Learning to change the way retailers do pricing. We are known for both cutting-edge math ‘under the hood’ and for deep expertise in the pricing domain. We are now looking for a Data Engineer to better the way we cope with data flows and help us to scale.
What you will do:
- Support existing ETL pipelines (SQL, Python, GCP stack)
- Add new entities to datasets
- Optimize existing bottlenecks (query performance etc.)
- Answer data-related questions
Starter-kit needed to join the board:
- 2+ years experience in a Data Engineer role
- Strong SQL knowledge: your SQL queries are to be efficient and self-explanatory
- Basic knowledge of core Python (junior+), followed by hands-on experience with it
- Experience in optimizing SQL queries
- Upper-Intermediate English proficiency
Pleasant extras:
- Experience in building data pipelines, ETL design
- Familiarity with Google Cloud Platform
- Familiarity with Apache Airflow
- Experience with different SQL/NoSQL databases (PostreSQL, ClickHouse, etc.)
You’re gonna love it, and here’s why:
- Meaningful work with rich software stack in an agile team ever-open to the experiments
- Fair payout with regular performance-based reviews
- Remote-first ideology: freedom to operate from the home office even after the pandemic and the war
- Working hours that adapt to your biorhythm and no time tracking systems on
- Want to learn? Competera loves that and is eager to cover 60% of your training/courses fee
- Paid vacation & sick leaves (20 business days each) + 15 days off
- Partial medical insurance coverage
Let’s price the world together!