Data Engineer

We are looking for a Data Engineer passionate about building scalable and efficient data solutions. In this role, you will design, implement, and maintain data pipelines, models, and workflows that empower analytics and business decision-making. You will work with modern data technologies and collaborate closely with product, analytics, and data science teams.

What You'll Do

• Build and maintain data pipelines to ingest, transform, and load data from cloud storage and microservices.
• Write clear and efficient SQL queries for reporting and analysis.
• Develop and manage data models using tools like Snowflake, dbt, or Looker.
• Automate workflows using Apache Airflow and ensure reliable data delivery.
• Follow software engineering best practices including version control, CI/CD, and testing.
• Provide guidance to analysts and data scientists on data engineering practices.
• Collaborate with stakeholders to understand business requirements and deliver high-quality, analysis-ready datasets.

• 3+ years of experience in data engineering or analytics engineering.
• Strong SQL skills and understanding of data modeling.
• Proficient in Python (or similar data-oriented programming languages).
• Experience with cloud platforms (AWS, GCP, or Azure).
• Comfortable using GitHub or similar for version control.
• Knowledge of software development practices applied to analytics (testing, CI/CD, automation).
• Understanding of core Data Engineering concepts (ETL, pipelines, modeling).
• Good communication skills and ability to work with cross-functional teams.
• English level: B1 or higher.