Data Analyst with Engineering focus

We’re looking for a Data Analyst / Engineer to join us and help build our internal data infrastructure from the ground up.

Key Responsibilities‍

• Own the end-to-end data infrastructure: from tracking event data to modeling and visualizing it

• Develop internal tooling using open-source or self-hosted solutions

• Set up pipelines to collect, clean, model, and store data (primarily in ClickHouse)

• Design and maintain data marts optimized for product and business analytics

• Build and support dashboards in BI tools (Grafana or others)

• Establish monitoring and data quality processes

• Collaborate closely with product and business teams to define useful metrics and datasets

Requirements

• 3+ years of experience in data engineering or product analytics

• Strong SQL skills (preferably with ClickHouse or similar columnar databases)

• Confident Python experience (for data transformation, automation, etc.)

• Experience with event tracking systems (web or mobile) and data collection

• Understanding of data modeling and layered data architecture (raw → transformed → business-ready)

• Hands-on experience with BI tools — ideally not just using dashboards, but configuring or scripting them (Grafana, Superset, Metabase, etc.)

• Ability to write reusable, parameterized SQL templates

• Familiarity with basic data monitoring and quality checks

• Strong product/business sense and ability to prioritize practical solutions

• Experience with large datasets (millions of daily events, tens of GB)

What We Offer

• Competitive salary.

• Opportunities for professional growth and development.

• A collaborative and user-focused work environment.

• The chance to shape the future of AI-powered creativity through research.

• Exciting projects where your insights will directly impact product development.

How to Apply

Interested candidates should submit their CV and a cover letter to careers@recraft.ai. Please include the position name in the subject line.