A live role
Intermediate Data Engineer
from GitLab · read the original and apply on their site
Bangalore, India
Our take: The real work here is building and running the data pipelines and warehouse infrastructure that feed GitLab's reporting, data science, and AI, owning each feature from source to tested, governed, documented data.
If you like owning data pipelines all the way from a messy API to clean, tested, documented data that the whole company relies on, this is your kind of work. You will build and run the Snowflake, Airflow, and ELT infrastructure behind GitLab's reporting, data science, and AI access, using AI coding agents daily while holding a high bar on review and testing. It suits someone who enjoys reliability, cost awareness, and quiet craftsmanship in a fully remote, async, handbook-first team.
Needs
- building elt pipelines
- python and sql
- api integration
- dimensional data modelling
- pipeline troubleshooting
- monitoring and tuning
Rewards
- end-to-end ownership
- real autonomy
- powering ai and reporting
- daily ai tooling
- fully remote
- async flexibility
Demands
- cross-team partnering
- peer code review
- governance and compliance
- access control policies
- async plain writing
Grows
- governed data design
- pipeline modelling
- ai-assisted development
- warehouse tuning
Values
- review rigour
- open handbook culture
- craftsmanship
- learning culture
- reliable over fast
Drains
- operational firefighting
- compliance handling
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