Data Engineer

Summary

Join Competera, a company building a platform for optimal pricing decisions using AI. We are seeking a Data Engineer to enhance our data processing capabilities. This role offers the freedom to make technical decisions and work on ambitious tasks. You will support and improve existing ETL pipelines, add new data entities, optimize performance, and answer data-related questions. The ideal candidate possesses strong SQL skills, Python experience, and cloud familiarity. We offer a remote-first work environment with flexible hours, various benefits, and opportunities for professional development.

Requirements

• 2+ years of experience in data engineer role
• Strong SQL knowledge: your SQL queries are to be efficient and self-explanatory (this will be the biggest part of work)
• Basic knowledge of core Python, followed by hands-on experience with it
• Experience in optimizing SQL queries
• Familiarity with Cloud
• English level - Upper-intermediate +

Responsibilities

• Support existing ETL pipelines (SQL, Python, GCP stack)
• Add new entities to datasets
• Optimize existing bottlenecks (query performance etc.) and close existing tech debt
• Answer data-related questions

Preferred Qualifications

• Experience in building data pipelines, ETL design
• Apache Spark will be a big plus
• Databricks platform
• Familiarity with Apache Airflow
• Experience with different SQL/NoSQL databases (PostreSQL, ClickHouse, etc.)
• Problem solving
• Critical thinking
• Ability to work independently
• Curiosity
• Disciplined
• Multi-tasking

Benefits

• Remote-first ideology: freedom to operate from the home office or any suitable coworking
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on
• Regular performance and compensation reviews
• Recurrent 1-1s and measurable OKRs
• In-depth onboarding with a clear success track
• Competera covers 70% of your training/course fee
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays
• 20 business days of sick leave
• Partial medical insurance coverage