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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 salary, 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 50000 - 65000 £ 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 in Manchester 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 in Manchester
✨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 in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and BigQuery in your application. We want to see how you've used these tools in past projects, especially if you've worked on regulatory reporting systems before!
Tailor Your Application: Don’t just send a generic CV! Take the time to tailor your application to the job description. Mention how your skills align with the responsibilities of building automated data pipelines and using AI tools.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
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 during the process!
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 that can enhance data pipelines. Be ready to share your thoughts on how you would implement these in the context of regulatory reporting.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you had to ensure data submission accuracy or troubleshoot issues in data pipelines, and be ready to walk through your thought process.