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Tech Stack
Tools & technologiesAirflowAmazon RedshiftBigQueryETLGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Own the BI and Data platform technically
- Build a new BI and Data platform from the ground up
- Evaluate and select the technology stack
- Define the target architecture and data models
- Build data pipelines, the semantic layer and initial dashboards
- Drive the platform into production
- Work within the existing BI organization and directly with the Head of BI
- Collaborate with engineering, product and business stakeholders
- Independently own projects from architecture and design through implementation and production
Requirements
What you’ll need- 5+ years in Data Engineering, BI Engineering, Analytics Engineering or Business Intelligence
- Proven experience building or significantly contributing to a modern data/BI platform
- Advanced SQL and extensive hands-on work on large and complex datasets
- Strong hands-on experience with ETL/ELT architectures, data pipelines and data transformation
- Strong understanding of data warehouse architecture and dimensional/data modeling
- Hands-on Snowflake experience within the last 3 years; Snowflake experience in a 2023-or-later role required
- Experience with BigQuery, Redshift or Databricks is additive, not a substitute for Snowflake
- Experience with dbt and Airflow/Astronomer or equivalent
- Experience with a BI platform such as Looker, Power BI or Tableau, including semantic-layer and standardized KPI framework design
- Good Python skills for data processing, automation and integration
- Experience integrating databases, APIs, event data and third-party sources
- Strong grasp of data quality, governance, lineage, monitoring and analytical-engineering best practice
- Understanding of batch versus real-time/near-real-time data architectures
- Ability to evaluate technologies and make architecture decisions based on business requirements, scalability, maintainability and cost
- Ability to independently own a project from architecture and design through implementation and production
- Strong communication with technical and business stakeholders
- Comfortable in a fast-changing environment where platforms, processes and standards are still being established
- Gambling/iGaming industry experience is a major advantage
- Experience with sports betting, casino, player behaviour, payments, CRM, bonuses, acquisition or risk/fraud data is advantageous
- Familiarity with gaming KPIs including GGR, NGR, ARPU, LTV, retention, churn, FTD, conversion, wagering, deposits and player segmentation
- Experience supporting multiple brands, countries or operations with differing data structures and business processes
- Hands-on Looker/LookML and GCP experience
- Event-driven or streaming architecture experience
- CI/CD and software-engineering practices for data platforms
- Experience supporting machine learning, predictive analytics or AI-driven analytics use cases
- Participation in data-platform technology evaluation or migration projects
Benefits
Comp & perks- Remote/hybrid work arrangement
- Full-time employment