At a Glance
- Tasks: Build and optimise data pipelines while collaborating with diverse teams.
- Company: Betty, a pioneering entertainment company in online gaming.
- Benefits: Career development, fun team culture, and a modern office space.
- Other info: Exciting opportunities for growth in a dynamic industry.
- Why this job: Join us to redefine online gaming with innovative data solutions.
- Qualifications: 3+ years in data engineering, strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
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 (Docker, Kubernetes).
- Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
What we offer
- Career and skills development opportunities.
- Fun and collaborative team environment.
- New modern office space.
Senior Data Engineer New London, UK employer: betty.ca
At Betty, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that champions innovation and collaboration. Our modern office in New London provides a dynamic environment where employees can thrive, with ample opportunities for career growth and skills development in the exciting field of online gaming. Join us to be part of a forward-thinking team dedicated to redefining the online casino experience while prioritising ethical gaming practices and player safety.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer New London, UK
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data projects or contributions to open-source. We love seeing real-world applications of your skills, especially when it comes to cloud technologies and data pipelines.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and problem-solving abilities. We recommend practicing common data engineering scenarios and being ready to discuss how you’ve optimised data processes in the past. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who align with our mission of ethical gaming practices.
We think you need these skills to ace Senior Data Engineer New London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud data warehousing technologies and any relevant projects you've worked on. We want to see how your skills align with our mission at Betty!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've optimised data processes or collaborated with teams in the past. This helps us understand your problem-solving abilities and teamwork skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for ethical gaming and how you can contribute to our mission. We love seeing candidates who resonate with our values, so let your personality come through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our innovative team!
How to prepare for a job interview at betty.ca
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data warehousing technologies like Amazon Redshift, Snowflake, or Google BigQuery. Be ready to discuss how you've used these tools in past projects and how they can be applied to Betty's innovative gaming environment.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you tackled them. Highlight your analytical skills and your ability to optimise data processes, as this will resonate well with the team at Betty.
✨Communicate Clearly and Collaboratively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to discuss how you've worked with cross-functional teams in the past and how you can contribute to a fun and collaborative environment at Betty.
✨Stay Updated on New Technologies
Familiarise yourself with the latest tools and frameworks in data processing and storage. Mention any experience you have with DBT, Apache Kafka, or containerisation technologies like Docker and Kubernetes, as this could set you apart from other candidates.
