Hybrid (3 office days); not eligible for relocation or immigration support.
Administer dbt Cloud organization-wide, including setup, environments, permissions, CI/CD, upgrades and cost control.
Set up and support multiple independent dbt projects with shared standards.
Develop and maintain production dbt pipelines, including complex finance models.
Mentor analysts on dbt, SQL modeling, testing and code review.
Tune Snowflake performance and cost, and improve pipeline reliability and monitoring.
Build Python tooling and automation using AWS Lambda, S3, orchestration and metadata workflows.
Drive AI adoption by building reusable AI skills and agentic workflows for dbt development.
Track AI tooling trends and bring useful approaches into the team.

4+ years in analytics engineering, data engineering or a similar role.
Strong hands-on dbt experience, ideally including dbt Cloud administration.
Strong SQL and data modeling skills.
Production Snowflake experience, including performance tuning and cost awareness.
Python for data tooling and automation.
Experience with AWS data platform services such as Lambda and S3.
Experience owning business-critical pipelines, including data quality testing, incident handling and stakeholder communication.
Experience mentoring or supporting analysts.
Fluent English.
Nice to have: agentic AI workflows, dbt Mesh, finance/revenue data, gaming or mobile analytics, AppsFlyer, dbt certification.

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Posted	14 Oct 2026
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Analytics Engineer (Mobile BI and New Games)