Data & AI Engineer

About the role

Secretlab is looking for a Data & AI Engineer to bridge data engineering and AI automation. You will design robust data models, build automated loops, and ensure data quality for our global gaming‑chair platform.

Key responsibilities

• Develop and maintain dbt models on Snowflake, ensuring staged layers, proper grain, and thorough testing.
• Review and contribute to code reviews, both giving and receiving feedback.
• Design and implement automation loops that reduce manual work for yourself and the team, with clear validation checks.
• Handle pipeline operations, including data ingestion issues, data quality monitoring, and overall data trustworthiness.
• Collaborate weekly with the AI Engineering Lead to align on projects and learning.

Required profile

• 2–5 years of professional experience in data, analytics, or software engineering.
• Strong side projects or real‑world implementations that demonstrate data modeling and AI automation.
• Ability to write and defend complex SQL queries and understand performance bottlenecks.
• Solid grasp of data modeling concepts such as layering and grain.
• Proficiency in Python for scripting and automation.
• Experience using Git for version control.
• Hands‑on experience building AI‑native solutions that automate tasks and can be validated with evidence.

Required skills

• SQL
• Python
• dbt
• Snowflake (or another cloud data warehouse)
• Git
• Airflow or similar orchestration tool
• Data modeling
• AI automation/agent loop development