We’re a fast-growing company operating in the iGaming (Gambling/Betting) sector. As part of our growth, we're looking for a Data Analyst (Data Engineer) to strengthen our analytics team and help improve the performance of our web products.

Responsibilities:

• Handle incoming requests from internal departments (automation, integrations, scripts/services).
• Maintain, fix, and refactor existing bots and automation mechanisms (cron/Airflow).
• Develop and support web scrapers and integrations with external APIs.
• Prepare and export data for reporting purposes (PostgreSQL → Google Sheets/Tableau).
• Ensure system stability: logging, alerts, testing, documentation.

Requirements:

• 1.5+ years of commercial experience with Python.
• Strong SQL skills (PostgreSQL) and experience using pandas for data transformations.
• Advanced web scraping skills: HTTP, anti-bot practices, proxy/agent rotation; tools such as Playwright, Selenium, BeautifulSoup, or Parsel (not necessarily all).
• Experience in task automation: cron/Airflow, CLI tools, or microservices.
• Practical experience with Linux, Docker, Git, and basic testing (pytest).
• English level — B1/B2 (reading and written communication).

Nice to Have:

• Understanding of iGaming KPIs (LTV, ARPU, Retention, Churn, ROI, RTP) and internal business processes.
• Applied knowledge of slot mechanics (RNG, RTP, volatility).
• Experience with ClickHouse and basic AWS knowledge.
• Data quality control (DQ), ETL/ELT pipelines, practical use of Airflow.
• Integrations with Google APIs (Sheets/Drive) and experience working with Tableau.

Stack: Python, PostgreSQL, pandas, cron/Airflow, Docker, Linux, Google Sheets, Tableau.

Working Conditions:

• Work on tasks from multiple departments, with prioritization via Kanban.
• Work in an international IT product company with offices in Poland, Georgia, Malta;
• Remote full-time work or work from a comfortable office. It doesn't matter where you re working from, only the result is important;
• Flexible schedule. It is enough to coordinate time zones and have intersections of working hours with the team;
• Paid 4 Sick Days and 1 Day Off per calendar year;
• Free online English lessons with a native speaker;
• Trainings, internal meetings, participation in international professional conferences and corporate events.