Senior Data Engineer
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.
- 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.
- Strong experience as a Data Engineer in production environments (required)
- Deep SQL expertise and experience with cloud data warehouses (Snowflake preferred) (required)
- Solid understanding of data modeling, ELT patterns, and pipeline design (required)
- Experience building and operating reliable data pipelines (testing, monitoring, observability) (required)
- Proficiency in Python for data engineering tasks (required)
- Strong problem-solving and communication skills (required)
- Fluency in spoken and written English. (required)
- Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), especially object storage (S3, ADLS, GCS) and identity/access concepts. (preferred)
- 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). (preferred)
- Hands-on experience with dbt for transformations and modeling. (preferred)
- Familiarity with orchestration tools (Airflow, Dagster, Prefect, or cloud-native equivalents). (preferred)
- Familiarity with streaming platforms (Kafka, Kinesis, Pub/Sub). (preferred)
- Exposure to BI/reporting tools (Power BI, Looker, Tableau). (preferred)
- 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.
- 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.
Light & Wonder, Inc. is a leading cross-platform gaming company headquartered in Las Vegas, Nevada. Formerly known as Scientific Games, it rebranded in 2022 after divesting its lottery and sports-betting businesses to focus on gaming. The company operates across three segments - Gaming (slot machines, table games and casino systems under brands such as Bally, WMS and Shuffle Master), SciPlay (social casino games) and iGaming (online casino content). Listed in both the US and Australia, it supplies content and systems to casinos and online operators worldwide.