Data Analytics Engineer (AI)

Location: London, United Kingdom; hybrid

Company

Arena Entertainment operates high-growth iGaming and online casino brands, including crypto- and Web3-focused MetaWin and HIT.

What you will do

• Design, build, and maintain Snowflake and dbt queries and production data models.
• Build scalable ETL/ELT pipelines with dbt, Airflow, and Fivetran for batch and real-time data.
• Transform raw data from CRM, payments, games, and other sources into trusted single-source-of-truth datasets.
• Own data quality initiatives, including automated monitoring, anomaly detection, and alerts.
• Improve data performance, cost efficiency, and security while supporting real-time ingestion with DMS, Kafka, or Kinesis.
• Partner with Marketing, Product, Retention, Operations, and other stakeholders as the data subject matter expert.

Requirements

• 1–3 years of experience in Analytics Engineering or a similar role.
• Excellent SQL and good Python skills.
• Production experience with dbt, including macros, testing, and modularisation.
• Hands-on AWS experience and practical knowledge of ELT design and data warehousing best practices.
• Good CI/CD and Git skills.
• Experience using AI coding assistants such as Copilot, Claude, or Gemini.

Nice to have

• Snowflake optimisation and experience handling high-volume data.
• Third-party data ingestion and real-time data pipeline experience.
• Exposure to data science or ML pipelines using SageMaker or Bedrock.
• Experience with AI-based monitoring or query optimisation and QuickSight, including SPICE or Direct Query.
• Knowledge of iGaming metrics such as GGR, LTV, RTP, and acquisition KPIs.

Culture & Benefits

• AI tools are expected to be used to accelerate development and automate repetitive work.
• Collaborative work across data, product, marketing, retention, and operations teams.
• Strong emphasis on documentation, sustainable systems, and clear communication.
• Hybrid work based in London.