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Salary
$37k – $58k per year
Location
Hybrid (Warsaw, Poland)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Sep 19, 2026.

Overview
Company
Impact
Profile match
Brightstar Lottery is a pure-play global lottery company, formerly the lottery business of International Game Technology, providing lottery operations, retail terminals, instant tickets, digital lottery and technology to state and national lotteries, with its corporate base in London and major operating centres in Rome and Providence. It took the Brightstar name after IGT sold its gaming and digital business in 2025, and it runs lotteries across the US, Italy, Canada, Latin America and Europe, with a technology hub in Warsaw. It hires software, full stack and quality assurance engineers, business analysts, lottery field service technicians, sales representatives and finance staff.

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. We have a longstanding commitment to Responsible Gaming (RG) that is engrained within our core business and the products we offer to customers and players worldwide. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com.

Role Overview:

We are seeking a highly skilled Data Platform Engineer to join our team and help architect, build, and optimize our enterprise data platform. This role will focus on Snowflake as the core data warehouse technology and will be instrumental in designing scalable data models, defining semantic layers, and enabling advanced analytics and AI-driven use cases.

The Way We Work:

  • Agile Approach: We follow agile methodologies, emphasizing adaptability, transparency, and continuous improvement.
  • Open Communication: We require open dialogue, knowledge sharing, and constructive feedback.
  • Innovation and Learning: We foster a culture of innovation, allowing engineers to explore new technologies and grow their skill sets.

Responsabilities:

  • Design and implement robust, scalable, and performant Snowflake database schemas and data models.
  • Define and maintain semantic layers to support self-service analytics and machine learning workflows.
  • Develop and optimize SQL for data transformation, aggregation, and consumption.
  • Integrate data from diverse sources including relational databases, interface files, message queues, and APIs.
  • Collaborate with data scientists, analysts, and application developers to ensure data accessibility and usability.
  • Implement and maintain data governance, security, and RBAC policies within Snowflake.
  • Monitor and tune performance of data pipelines and warehouse queries.
  • Contribute to the development of data platform standards, best practices, and documentation.

Preferred Knowledge & Tools:

  • Experience with AI/ML workflows and enabling data access for model training and inference.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native data services.
  • Exposure to BI tools (e.g., Tableau, Power BI) and how they interact with semantic layers.
  • Experience with CI/CD and DevOps practices in data engineering.

Qualifications:

  • 5+ years of experience in data engineering, database design, or data platform development.
  • Strong expertise in Snowflake, including schema design, performance tuning, and data sharing.
  • Proficiency in SQL, with experience writing complex queries and stored procedures.
  • Experience with data integration from varied sources (e.g., APIs, flat files, message queues).
  • Familiarity with ETL/ELT frameworks and orchestration tools (e.g., dbt, Airflow).
  • Understanding of semantic modeling and analytics enablement.
  • Solid programming skills in Python or Java for data processing and automation.
  • Knowledge of data governance, security, and access control principles.

Success Profile

  • Leading Complexity
  • Leading People
  • Leading the Business
  • Leading Self

#LI-PZ1 #LI-Hybrid

This information reflects Brightstar Lottery’s good-faith estimate of compensation for this position at the time of publication. Actual compensation will be determined in accordance with the applicable collective agreement and internal compensation policies. Factors that we consider include, but are not limited to, role, career level, performance, skills, level of expertise, experience, location, market competitiveness, and internal equity. The estimated starting compensation range is 146,064 zł - 224,714 zł. The Company will comply with all local pay requirements and collective bargaining agreements, where applicable.

Other Benefits Offered:

  • Paid time off
  • Health insurance, life insurance, and disability insurance
  • Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
  • Variety of well-being programs
  • Retirement benefits
  • Additional benefits available depending on the seniority of the role

This position is governed by collective bargaining agreement, which regulates the main terms and conditions of employment, including minimum salary levels, classification, working hours, leave, and other employment rights.

Our hiring process is conducted in line with principles of pay transparency and equal pay. We do not request or rely on candidates’ salary history during the selection process.

All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate.

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