At a Glance
- Tasks: Build robust data solutions using PySpark and Azure for financial markets.
- Company: Join Queen Square Recruitment, a leader in financial data engineering.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects in financial transformation.
- Why this job: Make an impact in global finance while working with cutting-edge technologies.
- Qualifications: Advanced skills in Python, CI/CD, and data governance required.
The predicted salary is between 60000 - 80000 £ per year.
Queen Square Recruitment seeks a talented data engineer to join a specialist team optimizing financial instrument mastering pipelines. This role involves building robust data solutions using PySpark and Azure technologies to support a global financial markets transformation.
You'll work with cross-functional teams to create scalable data architectures while ensuring quality and performance.
Ideal candidates will possess advanced skills in Python, CI/CD, and data governance in a financial context.
Bi-Temporal Data Engineer: PySpark on Azure & Fabric employer: Queen Square Recruitment
At Queen Square Recruitment, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Bi-Temporal Data Engineer, you will have access to cutting-edge technologies and the opportunity for professional growth within a dynamic team dedicated to transforming global financial markets. Our commitment to employee development and a supportive environment makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Bi-Temporal Data Engineer: PySpark on Azure & Fabric
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial data space on LinkedIn or at industry events. We can’t stress enough how a personal connection can give you the edge over other candidates.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your PySpark projects or any data solutions you've built. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Azure technologies and CI/CD practices. We recommend practising common interview questions related to data governance and financial contexts to boost your confidence.
✨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 Bi-Temporal Data Engineer: PySpark on Azure & Fabric
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with PySpark and Azure. 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 data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your advanced Python skills and any experience with CI/CD processes. We’re looking for someone who can hit the ground running, so let us know what you’ve got in your toolkit!
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 from our team!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your PySpark and Azure skills. Be ready to discuss specific projects where you've used these technologies, and think about how they relate to financial data solutions. The more you can demonstrate your technical prowess, the better!
✨Understand Financial Context
Since this role is focused on financial instrument mastering, it’s crucial to have a solid grasp of financial concepts. Familiarise yourself with terms and processes relevant to financial markets, as this will help you connect your technical skills to the business needs during the interview.
✨Showcase Your CI/CD Knowledge
Continuous Integration and Continuous Deployment (CI/CD) are key in modern data engineering. Be prepared to explain how you've implemented CI/CD pipelines in past projects, and how they improved efficiency and quality in your work. This will show that you’re not just a coder, but someone who understands the full lifecycle of data solutions.
✨Prepare for Cross-Functional Collaboration
This role involves working with various teams, so be ready to discuss your experience in cross-functional environments. Think of examples where you’ve successfully collaborated with others, and how you ensured quality and performance in your projects. Highlighting your teamwork skills will set you apart!
