Staff Economy Simulation Engineer_Monopoly GO ES

Staff Economy Simulation Engineer_Monopoly GOES - Barcelona, SpainScopely is looking for a Staff Economy Simulation Engineer to join our Monopoly GO team and work from Barcelona on a hybrid basis.At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.Monopoly GO is our new casual game and a key franchise that has just become Scopely’s largest game, enjoyed by millions of players. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.What You Will DoYour mission will be standardising and processing configuration data and developing systems that accurately replicate game logic, generating reliable simulation outcomes that help the economy team predict, validate, and understand the impact of changes by combining real player data with advanced simulations.You will partner closely with Game Economists, Product Managers, Data Scientists, and Game/Server Engineers to ensure a balanced, fun, and sustainable experience for millions of players, ideal for someone who loves understanding how complex systems work.Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth2. Data Modeling & AnalysisDesign standardized data models for Economy and LiveOps features, finding commonalities and relations between different featuresTransform raw game data into analytical datasets for simulation and evaluationCollaborate with Game Economy to define KPIs, progression metrics, and economic models3. Simulation & Game LogicBuild tools and code that accurately replicate in-game mechanics to validate and experiment with configurationsBuild validated simulation engines capable of modeling full player progression and event cyclesCreate reusable libraries enabling designers/economists to run simulations without engineering support4. Integration with Real Player DataExtract, process, and combine data from BigQuery or other data warehousesValidate that simulations reflect real player behavior and outcomesAutomate the creation of datasets required for future analyses5. Scalability & Compute SystemsBuild pipelines and systems to run millions of simulations efficientlyOptimize workloads using Spark, Dataproc, Airflow, DBT, or similar frameworksMaintain high code quality with proper testing, observability, and reproducibilityWhat We’re Looking For6+ years as part of a professional game development team or other relevant areaExperience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reportsExperience driving and leading the technical execution of complex and interdisciplinary developmentsStrong proficiency in Python or C# (required): classes, testing, simulation, optimizationSolid experience with SQL and at least one data warehouse (BigQuery preferred)Knowledge of probability, applied statistics, and simulation techniquesExperience with distributed processing tools: Spark, PySpark, or alternativesExperience building ETL/ELT pipelines using Airflow, DBT, or similar frameworksFamiliarity with cloud infrastructureGreat tech communication skills, who knows how to share knowledge with non-technical peopleA strong interest in leveraging AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cyclesBonus PointsExperience in gaming, monetization, or game economyFamiliarity with gameplay logic or LiveOps systemsExperience developing internal libraries or tools for non-technical teamsYou’ve mentored less experienced team membersCurious about experimenting with AI systems to extend the capabilities of existing pipelines or prototype new evaluation methodsWho you areYou’re passionate about understanding how complex systems workYou feel comfortable working between technical teams (Data/Server) and design teams (Economy/Product)You enjoy replicating mechanics, experimenting, and testing ideasYou are detail-oriented, methodical, and love finding inconsistencies or improvementsYou take pride in building features that reach and impact millions of playersYou value environments where meaningful contributions stand out, appreciating a merit-driven culture where your improvements are truly noticedYou excel when given autonomy and comfortable defining internal standardsYou’re excited about integrating AI into your day-to-day work, using it as a multiplier for creativity, speed, and problem-solvingAbout UsScopely is a global interactive entertainment and mobile-first video game company, home to many top, award‑winning experiences such as "MONOPOLY GO", “Star Trek™ Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee® With Buddies,” among others.Scopely creates, publishes, and live-operates immersive games that empower a directed‑by‑consumer™ experience across multiple platforms— from mobile, web, PC and beyond.Founded in 2011, Scopely is fueled by a world‑class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry.Recognized multiple times as one of Fast Company’s "World’s Most Innovative Companies," Scopely is a multi‑billion‑dollar business due to its ability to create long‑lasting game experiences that players enjoy for years.Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents.Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy.Notice to candidates: Scopely, Inc and its affiliates will never request