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- Tasks: Create and maintain regulatory reporting systems using Google Cloud Platform.
- Company: Join Manchester Digital, a forward-thinking tech company in the heart of Manchester.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on cutting-edge technology and career advancement.
- Why this job: Make an impact by developing cloud-native solutions and automating data processes.
- Qualifications: Experience with SQL, BigQuery, and a passion for innovative tech solutions.
The predicted salary is between 45000 - 55000 £ per year.
Manchester Digital is looking for a Regulatory Data Developer in Manchester to work on creating and maintaining regulatory reporting systems using Google Cloud Platform. The successful candidate will develop cloud-native solutions and support the migration from SQL Server to GCP, leveraging experience with SQL and BigQuery.
Responsibilities include:
- Building automated data pipelines
- Ensuring data submission accuracy
- Contributing to automation strategies through AI tools
GCP Regulatory Data Engineer — BigQuery & AI Tools employer: Manchester Digital
Contact Detail:
Manchester Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Regulatory Data Engineer — BigQuery & AI Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GCP and BigQuery. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to regulatory reporting systems or cloud-native solutions. This will help us see your hands-on experience and creativity in action.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and BigQuery knowledge. We want to see how you tackle real-world problems, so think of examples where you've built automated data pipelines or used AI tools.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace GCP Regulatory Data Engineer — BigQuery & AI Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform, SQL, and BigQuery. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about regulatory data and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've built automated data pipelines or tackled challenges in data accuracy. We’re keen on seeing how you approach problems and implement solutions, especially with AI tools.
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Manchester Digital
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery. Be ready to discuss how you've used these tools in past projects and how they can be applied to regulatory reporting systems.
✨Showcase Your SQL Skills
Since the role involves migrating from SQL Server to GCP, be prepared to demonstrate your SQL expertise. Bring examples of complex queries you've written and explain how they improved data accuracy or efficiency in previous roles.
✨Understand Automation Strategies
Familiarise yourself with automation tools and AI strategies relevant to data pipelines. Be ready to share your thoughts on how automation can enhance regulatory reporting and any experience you have in implementing such solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data engineering and how you overcame them, particularly in relation to data submission accuracy and pipeline automation.