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- Tasks: Enhance data platforms and optimise data models in a dynamic team.
- Company: Leading financial services firm known for innovation and empowerment.
- Benefits: Hybrid work model, competitive salary, and opportunities for impactful decision-making.
- Why this job: Join a forward-thinking team and shape the future of real-time analytics.
- Qualifications: Strong skills in Python, SQL, Data Warehousing, and AWS required.
- Other info: Opportunity to work with cutting-edge tools like Terraform and Airflow.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial services firm in the UK is looking for a Senior Data Engineer to enhance their data platform. This hybrid role involves working with a multi-disciplinary team to optimize data models, ensure data quality, and drive governance best practices.
Candidates should have a strong background in Python, SQL, Data Warehousing, and AWS. Familiarity with tools like Terraform and Airflow is advantageous. The company values innovation and empowers employees to make impactful decisions.
Senior Data Engineer: Real-Time Analytics Platform employer: Visa Inc.
Contact Detail:
Visa Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Real-Time Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the financial services sector. A friendly chat can give us insights into the company culture and maybe even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in Python, SQL, and AWS. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and real-time analytics. Mock interviews with friends or using online platforms can boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer: Real-Time Analytics Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and AWS in your application. We want to see how your skills align with the role of a Senior Data Engineer, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with data models and governance best practices, as these are key to what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
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’re considered for this exciting opportunity in our innovative team!
How to prepare for a job interview at Visa Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Governance Knowledge
Since the role involves driving governance best practices, be prepared to talk about your experience with data quality and governance. Share examples of how you've implemented these practices in previous roles and the impact they had on the data platform.
✨Familiarise Yourself with Tools
If you have experience with Terraform and Airflow, make sure to highlight it. If not, do a bit of research on how these tools work and be ready to discuss how they can enhance data engineering processes.
✨Emphasise Collaboration and Innovation
This role is all about working with a multi-disciplinary team, so be ready to share examples of how you've collaborated with others in the past. Highlight any innovative solutions you've contributed to and how they made a difference in your previous projects.
