Senior Data Engineer | Betty CA
Hiring Intelligence & Application Guidance
Direct ATS application. Include measurable achievements and core keywords from the job description.
Initial recruiter screening → Hiring Manager interview → Role-specific practical assessment.
Compensation benchmarked against current UK market rates (GBP).
UK Right-to-Work verified for direct application.
Role Overview & Responsibilities
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
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