Senior Data Engineer | Betty CA
Bettyjobboard · Not provided by source
This listing is no longer available.
MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.
Source: Arbeitnow. Open the original listing for current details. Availability is not verified for this retained page.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- London
- Occupation
- Database Architects(O*NET 15-1243.00)
Job description
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 Find more English Speaking Jobs in United Kingdom on Arbeitnow
Keep exploring
Available Data & Analytics roles
These current listings are available to explore now.