{"id":3641456,"url":"https://alion.io/job/phoenixgame-data-engineer-data-scientist","title":"Data Engineer / Data Scientist","company":{"id":4485865,"name":"Phoenixgame","domain":"phoenixgame.com","url":"https://alion.io/company/phoenixgame","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Airflow","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true},{"name":"Looker","optional":true},{"name":"MLFlow","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"PyTorch","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-02T18:45:18Z","employer_posted_date":null,"last_verified_at":"2026-11-02T18:45:18Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Phoenix Games is a technology company building next-generation iGaming and Web3 products for a global audience. We leverage AI, cloud technologies, blockchain, and advanced analytics to create intelligent, data-driven gaming experiences.\n\nAs we continue to scale, we're looking for Data Engineer / Data Scientist to help us build modern data infrastructure, develop machine learning solutions, and turn massive volumes of data into actionable insights.\n\nWhat You'll Do\n\nDesign, build, and maintain scalable data pipelines and ETL/ELT processes.\n\nDevelop and optimize data warehouses and data lake architectures.\n\nCollect, clean, and transform large datasets from multiple sources.\n\nBuild predictive models, recommendation systems, and analytical solutions.\n\nApply machine learning techniques to improve player engagement, fraud detection, personalization, and business intelligence.\n\nDesign dashboards and reporting solutions for business stakeholders.\n\nCollaborate with Product Managers, Engineers, and BI teams to define data-driven strategies.\n\nOptimize data processing performance and ensure data quality.\n\nImplement monitoring, validation, and governance for data pipelines.\n\nResearch and evaluate new AI and machine learning technologies.\n\nTech Stack\n\nPython\n\nSQL\n\nPostgreSQL\n\nSnowflake / BigQuery / Redshift\n\nApache Airflow\n\nSpark\n\nPandas\n\nNumPy\n\nScikit-learn\n\nTensorFlow / PyTorch\n\nMLflow\n\nDocker\n\nKubernetes\n\nAWS / Azure / GCP\n\nGit\n\nPower BI / Looker / Tableau\n\nRequirements\n\n2+ years of commercial experience in Data Engineering, Data Science, or Machine Learning.\n\nStrong Python programming skills.\n\nAdvanced SQL knowledge.\n\nExperience building scalable data pipelines.\n\nExperience with cloud data platforms.\n\nStrong understanding of data modeling and database design.\n\nExperience with machine learning algorithms and model evaluation.\n\nExperience working with large datasets.\n\nFamiliarity with Docker and cloud environments.\n\nStrong analytical and problem-solving skills.\n\nUpper-Intermediate English or higher.\n\nNice to Have\n\nExperience with LLMs, Generative AI, or AI agents.\n\nKnowledge of real-time data streaming (Kafka, RabbitMQ).\n\nExperience with feature engineering and MLOps.\n\nExperience with fraud detection or recommendation systems.\n\nFamiliarity with blockchain analytics or Web3 ecosystems.\n\nWhat We Offer\n\nFully remote work from anywhere in Europe.\n\nLong-term B2B cooperation.\n\nCompetitive salary paid in EUR or USD.\n\nAnnual salary reviews.\n\nPerformance-based bonus program.\n\nAnnual company bonus.\n\n25 paid vacation days.\n\nPaid sick leave.\n\nFlexible working hours.\n\nHome office budget.\n\nLaptop or equipment allowance.\n\nLearning & development budget for courses, certifications, conferences, and books.\n\nEnglish language lessons.\n\nPrivate health insurance.\n\nMental health support program.\n\nSports and wellness compensation.\n\nTeam-building activities and international company retreats.\n\nOpportunity to work on AI, Web3, blockchain, and large-scale data platforms.\n\nClear career growth opportunities within a rapidly expanding international product company.\n\nWhy Join Phoenix Games?\n\nAt Phoenix Games, data is at the core of every product decision. 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