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About the Role
We are seeking an Analytics Engineer to transform raw data into trusted, production-ready datasets. This role involves owning ETL/ELT data pipelines within Snowflake and dbt, optimizing them for real-time and batch data. The work will power BI reporting and support future AI-driven insights, positioning the data function as the Subject Matter Expert for cross-functional stakeholders.
Responsibilities
- Design, build, and maintain Snowflake & dbt queries.
- Build scalable ETL/ELT pipelines using dbt, Airflow, Fivetran.
- Transform raw data into clean, usable models as a single source of truth.
- Integrate different data sources (CRM, payments, games, etc.).
- Own initiatives for data quality improvement and monitoring (e.g. anomaly detection, automated alerts).
- Keep an eye on performance, cost, and security.
- Work closely with cross-functional teams to bridge product development, data, and operations, establishing yourself as the Subject Matter Expert.
- Help us move to real-time data ingestion & ETL using tools like DMS, Kafka, or Kinesis.
Requirements
- 1-3 years in Analytics Engineering or similar roles.
- Excellent SQL skills.
- Good Python skills.
- dbt experience in production environments (macros, testing, modularisation).
- Practical hands-on experience with AWS.
- Practical ELT design and data warehousing best practices.
- Good CI/CD and Git skills.
- Experience using AI coding assistants to work efficiently.
- Experience optimizing Snowflake data warehouses.
- Experience building pipelines to handle high-volume data.
- Experience with ingesting 3rd party data.
- Familiarity with real-time data ingestion.
- Exposure to data science/ML pipelines (SageMaker, Bedrock).
- Experience using AI tools for monitoring or query optimisation.
- QuickSight experience (especially SPICE/Direct Query).
- Knowledge of iGaming terminology (GGR, LTV, RTP, acquisition KPIs).
Skills
- SQL
- Python
- dbt
- AWS
- CI/CD
- Git
- AI coding assistants
- Snowflake optimization
- High-volume data pipelines
- 3rd party data ingestion
- Real-time data ingestion
- Data science/ML pipelines
- AI tools for monitoring
- AI tools for query optimisation
- QuickSight
- iGaming terminology
Experience Level
- 1-3 years
About the Company
- Arena Entertainment operates multiple high-growth iGaming and online casino brands within the digital entertainment space.
- This role will initially focus on our MetaWin and HIT brands, both of which have a strong crypto and Web3 focus.
- At Arena, AI is a must-have tool, not a nice-to-have. We expect all of our engineers to natively leverage AI tools (e.g., Copilot, Claude) to code faster, automate repetitive tasks, and work significantly smarter.