Data Engineer

About us:

Betty is an innovative entertainment company pioneering at the intersection of real money online casino and casual mobile gaming. Accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we’ve set a new standard in the industry. Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players’ safety and enjoyment above everything else.

Our Values:

• We are honest – we value honesty in all aspects.
• Bring the Olives – we offer premium customer experience.
• Think Big – we believe in always striving for more.

Key Responsibilities:

• Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements.
• Develop and maintain scalable data pipelines for loading data from different sources into the DWH.
• Optimize and fine-tune existing data processes for improved performance.
• Collaborate with infrastructure teams to implement scalable and secure data platform.
• Create and maintain reports for regulatory requirements and internal business needs.
• Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
• Mentor junior colleagues, providing guidance in data engineering best practices.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in a data warehouse engineering or related role.
• Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery.
• Good programming skills in Python.
• Proficiency with SQL and data modelling.
• Experience with pipeline orchestration tools (e.g., Airflow, Dagster).
• Understanding of CI/CD principles and experience implementing automated deployment processes.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Fluency in English.

Nice to have:

• Experience with DBT.
• Experience with stream processing frameworks (e.g., Apache Kafka).
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).

What we offer:

• Competitive salary
• Premium Health insurance
• Career and skills development opportunities
• Fun and collaborative team environment
• New modern office space