Senior Data Engineer

We are partnering with an established, Canada based online sports book and casino to appoint a Senior Data Engineer
. Reporting to the Head of Data & Analytics, this is a pivotal, hands‑on role responsible for owning and scaling a modern cloud data platform that powers analytics, dashboards, regulatory reporting, and data science across the business.

This opportunity is ideal for a senior level data engineer who thrives on autonomy, technical ownership, and building reliable, scalable data infrastructure in a high-volume, transactional environment.

As Senior Data Engineer, you will play a central role in shaping and evolving the organisation's data ecosystem.

Key responsibilities include:

• Design and build scalable data warehouse solutions in Snowflake, including schemas, models, and transformations
• Develop and maintain robust ingestion pipelines for production systems and third-party platforms (marketing, CRM, payments, engagement tools)
• Implement testing, monitoring, and alerting to ensure data quality, reliability, and cost efficiency
• Define and manage CI/CD processes and version control for data projects
• Optimise Snowflake performance, warehouse usage, and cost management
• Manage roles, access controls, and query performance tuning
• Establish best practices for documentation, governance, and data quality standards
• Monitor and resolve third-party integration issues (API changes, authentication, schema updates, rate limits)
• Collaborate closely with analysts, BI developers, and data scientists to deliver trusted, accessible datasets

We are looking for a technically strong Senior Data Engineer with deep experience in modern cloud data environments.

You will bring:

• 5+ years of experience in data engineering or related roles
• Strong SQL skills and hands‑on experience with modern cloud data warehouses (Snowflake preferred)
• Strong Python experience for pipeline development and API integrations
• Expertise in data modelling, schema design, performance tuning, and warehouse optimisation
• Experience with transformation frameworks such as dbt (or similar tools)
• Proven experience building and maintaining API‑based data integrations
• Familiarity with CI/CD workflows and version control (Git)
• Knowledge of data governance best practices including documentation, testing, and quality controls
• Exposure to cloud platforms such as AWS, GCP, or Azure

• Experience in iGaming, sports betting, or other high-volume transactional environments
• Familiarity with regulatory reporting (AML, Responsible Gaming, etc.)
• Experience supporting ML workflows or feature stores
• Experience with BI tools such as Power BI
• Exposure to orchestration tools (Airflow, Prefect) or streaming technologies (Kafka, Spark, Kinesis)

• Fully remote opportunity (Canada-wide)
• Competitive compensation and comprehensive employer‑paid benefits
• High‑impact role with direct influence over the data platform architecture
• Collaborative, fast‑paced technology environment
• Structured onboarding and long‑term career progression
• This position does not use artificial intelligence during the hiring process

If you are a Senior Data Engineer looking to take ownership of a modern cloud data platform in a scaling digital business, get in touch for more information!