At a Glance
- Tasks: Build and optimise data pipelines while collaborating with diverse teams.
- Company: Betty, a pioneering entertainment company in online gaming.
- Benefits: Competitive salary, premium health insurance, and career development opportunities.
- Other info: Fun, collaborative team in a modern office space.
- Why this job: Join us to redefine online gaming and make a real impact.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
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
Senior Data Engineer | Betty CA in London employer: Betty
Betty is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for innovative thinkers in the heart of Greater London. With a strong emphasis on career development, employees are encouraged to grow their skills and take on new challenges while contributing to impactful brand strategies. The company's commitment to creativity and excellence makes it an ideal place for those seeking meaningful and rewarding employment in the entertainment industry.
