Data Platform Engineer (Warsaw, PL, 00-807)

<p><span style="font-size:12.0pt">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 <a href="http://secure-web.cisco.com/1re_ddYvrNCJ_LwBFCv57DZ5Um3w0A-zRZY6vYmJIfLyvGWKfv6DrhfkYbWP9hU4Zrhh6X3yRxw5YdrcYSS35EG27fyRmZPa9x5794HCnVUT9HfMwGwT2b9Kt2yrRZDGL-l8As43j-uenG2s-feiY6ZQ2nuRAVc7TzBn79bDz0aRJDSfzshcLGtcipMavvIjwDsXT8AbYu5DSJkwPttBwAZNdaGBTXpT_ArCLBbnU5aBiurNvy31--1-d_ldX2PbQd4-fTTJ8cohWdaet9PTn3vfzKUZlYgjpaOEuIkHYKt02eO2l5c2GRTtMmO588axN/http%3A%2F%2Fwww.brightstarlottery.com">www.brightstarlottery.com</a>. </span></p><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Role Overview:</b></H2> </div><div><p>We are seeking a highly skilled <strong>Data Platform Engineer</strong> to join our team and help architect, build, and optimize our enterprise data platform. This role will focus on <strong>Snowflake</strong> 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.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>The Way We Work:</b></H2> </div><div><ul type="disc"> <li><strong>Agile Approach:</strong> We follow agile methodologies, emphasizing adaptability, transparency, and continuous improvement.</li> <li><strong>Open Communication:</strong> We require open dialogue, knowledge sharing, and constructive feedback.</li> <li><strong>Innovation and Learning:</strong> We foster a culture of innovation, allowing engineers to explore new technologies and grow their skill sets.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Responsabilities:</b></H2> </div><div><ul type="disc"> <li>Design and implement robust, scalable, and performant <strong>Snowflake</strong> database schemas and data models.</li> <li>Define and maintain <strong>semantic layers</strong> to support self-service analytics and machine learning workflows.</li> <li>Develop and optimize <strong>SQL</strong> for data transformation, aggregation, and consumption.</li> <li>Integrate data from diverse sources including <strong>relational databases, interface files, message queues, and APIs</strong>.</li> <li>Collaborate with data scientists, analysts, and application developers to ensure data accessibility and usability.</li> <li>Implement and maintain <strong>data governance</strong>, <strong>security</strong>, and <strong>RBAC</strong> policies within Snowflake.</li> <li>Monitor and tune performance of data pipelines and warehouse queries.</li> <li>Contribute to the development of <strong>data platform standards</strong>, best practices, and documentation.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Preferred Knowledge &amp; Tools:</b></H2> </div><div><ul type="disc"> <li>Experience with <strong>AI/ML workflows</strong> and enabling data access for model training and inference.</li> <li>Familiarity with <strong>cloud platforms</strong> (e.g., AWS, Azure, GCP) and cloud-native data services.</li> <li>Exposure to <strong>BI tools</strong> (e.g., Tableau, Power BI) and how they interact with semantic layers.</li> <li>Experience with <strong>CI/CD</strong> and <strong>DevOps</strong> practices in data engineering.</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Qualifications:</b></H2> </div><div><ul type="disc"> <li>5+ years of experience in <strong>data engineering</strong>, <strong>database design</strong>, or <strong>data platform development</strong>.</li> <li>Strong expertise in <strong>Snowflake</strong>, including schema design, performance tuning, and data sharing.</li> <li>Proficiency in <strong>SQL</strong>, with experience writing complex queries and stored procedures.</li> <li>Experience with <strong>data integration</strong> from varied sources (e.g., APIs, flat files, message queues).</li> <li>Familiarity with <strong>ETL/ELT frameworks</strong> and orchestration tools (e.g., dbt, Airflow).</li> <li>Understanding of <strong>semantic modeling</strong> and <strong>analytics enablement</strong>.</li> <li>Solid programming skills in <strong>Python</strong> or <strong>Java</strong> for data processing and automation.</li> <li>Knowledge of <strong>data governance</strong>, <strong>security</strong>, and <strong>access control</strong> principles.</li> </ul> <p><span style="color:white"><span>#LI-HYBRID<br>#LI-PZ1</span> </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Success Profile</b></H2> </div><div><p>• Leading Complexity<br>• Leading People<br>• Leading the Business<br>• Leading Self</p> <p> </p> <p>#LotteryTechnology</p></div></div></div><p>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.</p> <p> </p> <p>Other Benefits Offered:</p> <ul> <li>Paid time off</li> <li>Health insurance, life insurance, and disability insurance</li> <li>Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​</li> <li>Variety of well-being programs​</li> <li>Retirement benefits</li> <li>Additional benefits available depending on the seniority of the role</li> </ul> <p> </p> <p>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. </p> <p> </p> <p>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. </p> <p> </p> <p>All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate.</p>