Betty
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
To apply for this job please visit job-boards.greenhouse.io.
Explore Betty online
Working in London, UK
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London is the capital and largest city of England and the United Kingdom, with a population of 9.1 million people in 2024. Its wider metropolitan area is the largest in Western Europe, with a population of 15.4 million. London stands on the River Thames in southeast England, at the head of a 50-mile (80 km) tidal estuary down to the North Sea, and has been a major settlement for nearly 2,000 years. Its ancient core and financial centre, the City of London, was founded by the Romans as Londinium and has retained its medieval boundaries. The City of Westminster, to the west of the City of London
England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and
Source: Wikipedia (state)
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