Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

We are seeking a highly skilled Data Platform Engineer to join our team and help architect, build, and optimize our enterprise data platform.

Agile Approach: We follow agile methodologies, emphasizing adaptability, transparency, and continuous improvement.

What you’ll bring

All qualifications

Core experience

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.

Qualification wording

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.

Tools in this posting

Java
Python
SQL
AWS
Azure
dbt
Google Cloud (GCP)
Snowflake
Tableau
Power BI
Airflow

Source

- 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.

- 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.

- 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).

- 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 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.

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:

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.

- 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.

- 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.

- 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.

Job description

View original posting ↗

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.

#LI-HYBRID
#LI-PZ1

Success Profile

Leading Complexity
Leading People
Leading the Business
Leading Self

#LI-PZ1 #LI-Hybrid

#LotteryTechnology

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.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on careers.brightstarlottery.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Warsaw, PL, 00-807
- Knowledge of data governance, security, and access control principles. #LI-HYBRID #LI-PZ1 Success Profile
More source context
- Leading Self #LI-PZ1 #LI-Hybrid #LotteryTechnology
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at careers.brightstarlottery.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Jul 3, 2026
Recorded sightings: 242
Last seen by us: Oct 9, 2026

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