Analytics Engineer (Mobile BI and New Games) (Wargaming Vilnius, UAB)

Job description:
We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
Requirements:
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
Nice to have
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Company offers:
Additional paid time off
Sick Leave Compensation
Pregnancy and Childbirth Leave Benefit
Career…