At a Glance
- Tasks: Lead the transformation of legacy systems into scalable cloud architectures and mentor fellow engineers.
- Company: Join bet365, a leader in the online gaming industry with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving technological advancements in data management.
- Why this job: Make a significant impact by modernising data pipelines and ensuring compliance in high-volume environments.
- Qualifications: Experience in data architecture, ETL/ELT development, and cloud technologies required.
The predicted salary is between 63000 - 77000 £ per year.
bet365 is seeking a Senior Regulatory Data Developer to modernise reporting pipelines and build scalable cloud architectures. You will lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures, designing BigQuery/Dataform pipelines and mentoring engineers.
The role is hybrid, with responsibilities spanning:
- Data modelling
- ETL/ELT development
- Data quality
- CI/CD practices to ensure reliable, compliant reporting across high-volume data estates
Regulatory Data Architect: Cloud ETL & Modernization Lead employer: Bet365careers
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Enterprise Apps Engineer, you will not only have the opportunity to lead impactful projects in a hybrid work environment but also benefit from continuous professional development and mentorship. Our commitment to employee growth, coupled with the chance to work with cutting-edge technology in a global setting, makes bet365 a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Regulatory Data Architect: Cloud ETL & Modernization Lead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Regulatory Data Architect: Cloud ETL & Modernization Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Bet365careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bet365careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bet365careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
