Senior Data Engineer
Core
Design, build, and own robust data pipelines and platforms that turn raw events into reliable insights at scale for a product serving 100M+ monthly visitors.
Role type
Senior Data Engineer (Analytics Platform)
Builds
Data pipelines, warehouse models, semantic layers, and data quality infrastructure.
Domain
Online entertainment / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
PostgreSQL, ClickHouse, dbt, Python, data modeling, data quality, data lineage, Git, code review
Preferred skills
MongoDB, AWS, Docker, high-volume data environments, AI tooling (Claude.md, hooks, skills, rules, mcps, plugins)
Technologies
Postgres, MongoDB, ClickHouse, BigQuery, Redshift, Snowflake, dbt, Cube.dev, dbt MetricFlow, LookML, OpenMetadata, DataHub, Git, AWS, Docker
Responsibilities
Design and build data pipelines from source systems into the warehouse; drive dbt project structure, conventions, testing, and CI/CD; own and evolve the semantic layer for governed metrics; champion data cataloging, documentation, and end-to-end lineage; optimize warehouse and columnar query performance; mentor the wider BI/Data team on engineering practices.
Seniority
Senior, hands-on IC with mentorship responsibilities