Data Engineer (World of Tanks: HEAT)

Wargaming is looking for a proactive, passionate, and goal-oriented Data Engineer to join our Analytics team. The role combines deep technical expertise in high-load telemetry and data warehouse systems with strong cross-functional collaboration skills.

The team works with a wide range of product data - from financial and economic metrics to highly granular in-battle telemetry, including player actions, vehicle movements, and interface events. All data is consolidated into a centralized data warehouse and is available for near real-time analytics.

You will collaborate closely with the Data Warehouse team responsible for storage, infrastructure, and reporting, as well as with a global analytics community of 50+ analysts. The position offers an opportunity to work in one of the most data-intensive industries and to apply modern analytics technologies to real, measurable product outcomes.

Analytics Team Lead

• Design and evolve product telemetry systems in collaboration with analysts, game designers, product managers, and developers

• Organize and support data collection, storage, and transfer pipelines from game servers to the Data Warehouse across the full feature lifecycle (from concept to release)

• Develop and maintain technical documentation for telemetry and data systems; ensure compliance with business requirements, data integrity standards, and GDPR

• Coordinate data-related activities across teams, acting as a point of alignment between product, analytics, and technical stakeholders

• Build and maintain analytical infrastructure, including ETL pipelines, monitoring solutions, and dashboards that provide timely insights into product health and performance

• Support analysts, managers, and product teams by enabling access to reliable data for decision-making and by maintaining and expanding the internal knowledge base on data systems

• 3+ years of professional experience in roles such as Data Engineer, Data Steward, ETL Developer, or Data Integration Engineer

• Strong theoretical and practical knowledge of relational databases and data warehouse architectures, including processing and storage of large-scale datasets

• Expert-level SQL proficiency, with hands-on experience in designing, optimizing, and operating ETL pipelines

• Experience working with Big Data/DWH platforms and Python for data processing and automation

• Proven ability to formalize business requirements, decompose them into technical specifications, and design telemetry and data collection systems

• Solid understanding of end-to-end data flows within DWH infrastructure and related processes

• Well-developed communication skills, along with effective time and workload management

• English proficiency at B2 level or higher

• Hands-on experience with Snowflake, BigQuery, MySQL, or PostgreSQL

• Familiarity with Tableau or other BI tools

• Ability to quickly learn, structure, and operate with large volumes of information

• Experience using version control systems (Git, SVN, CVS)

• Background knowledge in computer science, mathematics, or statistics

• Broad gaming experience

• Hybrid (4 days of work from the office) 

• This role is eligible for relocation & immigration support

Note that this salary range is valid for Lithuania, for other locations it might be different.

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

• Additional paid time off 

• Sick Leave Compensation

• Pregnancy and Childbirth Leave Benefit  

• Career development and education opportunities within the company

• Meal Allowance

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Perks discounts platform (over 450 exclusive 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