Time since we first saw it
Day 45
Similar jobs usually come down between day 7 and day 50.
At Wargaming, jobs usually come down by about day 107.
From 1,608 similar postings that came down, and 5 of Wargaming’s. Coming down is not always a hire.
Analytics Engineer (Mobile BI and New Games)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAdminister dbt Cloud: projects, environments, permissions, CI/CD, upgrades, cost
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
Build Python tooling and automation on AWS Lambda, S3 and orchestration
From the employer’s posting
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
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)
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 26, 202645 days ago
- Recorded sightings
- 40
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Wargaming is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- dbt
- S3
- Snowflake
Where the posting names them
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
- 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
- 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)
- 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
- 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
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.
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
- 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
- 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
- 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
- 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
- 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)
- Familiarity with marketing and attribution data (AppsFlyer) or product telemetry - dbt certification Work mode
- 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)
- Strong SQL and data modeling skills - Production experience with Snowflake, including performance tuning and cost awareness - Python for data tooling and automation
Your next step
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Has Wargaming posted this job before?
Yes. We’ve followed 3 other Analytics Engineer (Mobile BI and New Games) jobs there since September 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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 Nicosia include:
- 21 days annual leave (additional days based on years of service: up to 25 days)
- Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
- Sick Leave (10 days top-up to statutory allowance per year)
- Maternity Leave (18 weeks top-up to statutory allowance per case)
- Career development and education opportunities within the company
- English Language courses fully covered by the company upon Manager’s approval
- Private Health Care
- Mental well-being program (iFeel)
- Onsite gym and spa
- Free parking close to the Nicosia offices, based on availability
- Free drinks-equipped kitchen in every floor building
- Eurobank benefits (if applicable)
- Employee discounts (e.g. restaurants, bars, etc.)
- Personal Gaming Account
- Onsite canteen with subsidized prices for food and drinks
- Company events, Social Clubs
- Seniority Awards
- Referral program - You can recommend the best talents to the company and receive a reward
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Nicosia
Work mode - Hybrid (3 days of work from the office) - This role isn't eligible for relocation & immigration support.
- Work authorization
- Hybrid (3 days of work from the office) - This role isn't eligible for relocation & immigration support. Benefits