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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.
As 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.

What You'll Do
Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Develop and optimize data warehouses and data lake architectures.
Collect, clean, and transform large datasets from multiple sources.
Build predictive models, recommendation systems, and analytical solutions.
Apply machine learning techniques to improve player engagement, fraud detection, personalization, and business intelligence.
Design dashboards and reporting solutions for business stakeholders.
Collaborate with Product Managers, Engineers, and BI teams to define data-driven strategies.
Optimize data processing performance and ensure data quality.
Implement monitoring, validation, and governance for data pipelines.
Research and evaluate new AI and machine learning technologies.

Tech Stack
Python
SQL
PostgreSQL
Snowflake / BigQuery / Redshift
Apache Airflow
Spark
Pandas
NumPy
Scikit-learn
TensorFlow / PyTorch
MLflow
Docker
Kubernetes
AWS / Azure / GCP
Git
Power BI / Looker / Tableau

Requirements
2+ years of commercial experience in Data Engineering, Data Science, or Machine Learning.
Strong Python programming skills.
Advanced SQL knowledge.
Experience building scalable data pipelines.
Experience with cloud data platforms.
Strong understanding of data modeling and database design.
Experience with machine learning algorithms and model evaluation.
Experience working with large datasets.
Familiarity with Docker and cloud environments.
Strong analytical and problem-solving skills.
Upper-Intermediate English or higher.

Nice to Have
Experience with LLMs, Generative AI, or AI agents.
Knowledge of real-time data streaming (Kafka, RabbitMQ).
Experience with feature engineering and MLOps.
Experience with fraud detection or recommendation systems.
Familiarity with blockchain analytics or Web3 ecosystems.

What We Offer
Fully remote work from anywhere in Europe.
Long-term B2B cooperation.
Competitive salary paid in EUR or USD.
Annual salary reviews.
Performance-based bonus program.
Annual company bonus.
25 paid vacation days.
Paid sick leave.
Flexible working hours.
Home office budget.
Laptop or equipment allowance.
Learning & development budget for courses, certifications, conferences, and books.
English language lessons.
Private health insurance.
Mental health support program.
Sports and wellness compensation.
Team-building activities and international company retreats.
Opportunity to work on AI, Web3, blockchain, and large-scale data platforms.
Clear career growth opportunities within a rapidly expanding international product company.

Why Join Phoenix Games?
At Phoenix Games, data is at the core of every product decision. You'll work with modern technologies, solve complex data challenges, and help build intelligent systems that power the next generation of online gaming.
If you're passionate about data engineering, machine learning, and creating impactful AI-driven solutions, we'd love to hear from you.

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