Analytics Engineer (Mobile BI and New Games)

Job Overview

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.

Reports to

Director of Mobile and New Games

What will you do?

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

What are we looking for?

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

What additional skills will help you stand out?

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

Work mode

Hybrid (3 days of work from the office)

This role isn't eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:

5 weeks of Annual Leave per calendar year

Additional paid time off

Sick Leave Compensation, Maternity & Paternity Leave Benefits

Career development and education opportunities within the company

Meal card contribution

Public transportation allowance

Premium private healthcare

Mental well-being program (iFeel)

Multisport Employee discounts

Personal Gaming Account

Coffee, fruits, and snacks in the office

Company events

Seniority Awards

Referral program - You can recommend the best talents to the company and receive a reward

Please submit your CV in English to ensure smooth processing and review.
About Wargaming

Wargaming is an award-winning online game developer and publisher headqua