TL;DR

Principal Data Engineer (AI): Developing impactful data solutions by translating business vision into data architecture with an accent on data integration, modeling, and security. Focus on leading a data engineering team and ensuring high-quality data performance.

Company

%hirify_global% is a fast-growing company focused on making back-office operations easy for micro SMEs through proprietary software and AI.

What you will do

Define and implement greenfield data architecture using GCP.
Lead the design and implementation of ETL/ELT pipelines.
Establish data governance and security policies.
Implement monitoring and observability for data systems.
Mentor a small data engineering team.

Requirements

10+ years of experience in data engineering or architecture.
Strong expertise in GCP data stack.
Hands-on experience with ETL/ELT pipelines.
Deep knowledge of data modeling and warehousing.
Strong SQL and Python skills.

Nice to have

Experience with Snowflake or Databricks.
Knowledge of streaming systems.
Prior work with BI/analytics tools.

Culture & Benefits

Flexible work arrangements, including remote work.
Competitive salaries and generous paid time off.
Commitment to personal growth and development.
Focus on building an inclusive and equitable environment.

Hiring process

Screening call with Talent Acquisition.
Technical screening with a Senior Data Engineer.
Final interview with the CTO.