Senior Data Engineer

Responsibilities

• Help design and establish a scalable Snowflake architecture (databases, compute strategy, access model, environments).
• Build and own production-grade data pipelines from ingestion through transformation to consumption.
• Define and implement data modeling standards (e.g., layered architecture, semantic models).
• Ensure data reliability by implementing testing, monitoring, and observability practices.
• Partner with analytics and business stakeholders to translate data needs into durable data products .
• Optimize performance and cost efficiency across Snowflake and pipeline workloads.
• Contribute to data governance, security, and access patterns as part of platform design.
• Help define and promote engineering best practices across the data team.

Requirements

• Strong experience as a Data Engineer in production environments
• Deep SQL expertise and experience with cloud data warehouses (Snowflake preferred)
• Solid understanding of data modeling, ELT patterns, and pipeline design
• Experience building and operating reliable data pipelines (testing, monitoring, observability)
• Proficiency in Python for data engineering tasks
• Strong problem-solving and communication skills
• Fluency in spoken and written English.
• Highly Desired skills
• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), especially object storage (S3, ADLS, GCS) and identity/access concepts.
• Experience building with AI / GenAI- e.g., using LLMs or AI-assisted development tools (Copilot, Cursor, Claude), building RAG pipelines, prompt engineering, or working with Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex AI functions).
• Hands-on experience with dbt for transformations and modeling.
• Familiarity with orchestration tools (Airflow, Dagster , Prefect, or cloud-native equivalents).
• Familiarity with streaming platforms (Kafka, Kinesis, Pub/Sub).
• Exposure to BI/reporting tools (Power BI, Looker, Tableau).
• Additional Information
• Why would you enjoy working with us at Light & Wonder ?
• Competitive benefits, an open and supportive environment as well as a modern and exciting workplace.
• The opportunity to interact with global teams on a regular basis and the possibility to switch teams and projects as you and our business continues to develop and grow.
• Exciting projects with opportunities for creating positive change to our game engineering ecosystem.
• And if that is not enough; you will get to enjoy a stunning work location and flexible hybrid working whilst we provide you with the guidance and development skills you need to progress quickly and enhance your career .
• #LI-Hybrid
• #LI-iGaming

Benefits

Additional Information

iGaming: If it's iGaming, we know a thing or two. At Light & Wonder, It's all about the games, and our digital team leads the global iGaming market, providing jaw-dropping content and innovative software that powers the world's most successful online gaming providers. Position Summary Light & Wonder is the global leader in cross-platform games and entertainment. The company brings together 5,000 employees from six continents to connect content between land-based and digital channels with unmatched technology and distribution. Guided by a culture that values daring teamwork and creativity, Light & Wonder builds new worlds of play, developing game experiences loved by players around the globe. The company's OpenGaming(tm) platform powers the largest digital-gaming network in the industry. Light & Wonder is committed to the highest standards of integrity, from promoting player responsibility to implementing sustainable practices. To learn more, visit lnw.com. We are looking for a talented Senior Data Engineer to help build a brand-new Snowflake-based data platform from the ground up. Our organization aspires to lead AI driven transformation, and we have identified that a state-of-the-art Data Platform is an absolute prerequisite for such an endeavor. This is a unique opportunity to join at the early stages of this major data modernization initiative and shape the future of our analytics ecosystem You'll work closely with Data/BI Engineering and Analytics teams to design and implement scalable data pipelines, model high-quality datasets, and establish best practices across our modern data stack. If you enjoy hands-on engineering, solving data challenges, and working with cutting-edge cloud technologies, we'd love to meet you.

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