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 - 75000 £ 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 in London employer: Betty
At Betty, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and professional growth. Our modern office space fosters collaboration and creativity, while our commitment to career development ensures that every team member has the opportunity to enhance their skills and advance in their careers. With competitive salaries and premium health insurance, we create a supportive environment where innovation thrives and employees can truly enjoy their work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Betty. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, discuss your experience with cloud technologies, and highlight how you've optimised data processes. Let them see the real you!
✨Tailor Your Approach
Before any interview, do your homework on Betty. Understand their mission and values, and think about how your skills align with their goals. This shows you're genuinely interested and ready to contribute to their innovative environment.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really want to be part of our team.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data engineering shine through! We want to see how your passion aligns with our mission at Betty and how you can contribute to redefining the online casino experience.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience that matches the job description. Focus on your skills in cloud data warehousing, Python programming, and any tools you've used that relate to the role. We love seeing how your background fits with what we do!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Betty!
How to prepare for a job interview at Betty
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially with cloud technologies like Amazon Redshift or Snowflake. Be ready to discuss your experience with data pipelines and how you've optimised processes in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Think about specific situations where your analytical skills made a difference, and be ready to explain your thought process during the interview.
✨Communicate Clearly and Collaboratively
Since collaboration is key in this role, practice articulating your ideas clearly. Be prepared to discuss how you've worked with cross-functional teams and how you can contribute to a positive team environment.
✨Stay Updated on New Technologies
Familiarise yourself with the latest tools and frameworks in data engineering. If you have experience with DBT or stream processing frameworks, make sure to highlight that, as it shows you're proactive about enhancing your skill set.
