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- Tasks: Develop robust data systems and manage the Data Warehouse using GCP, Kafka, and SQL.
- Company: A leading financial technology company in Greater London with a focus on innovation.
- Benefits: Competitive salary, professional growth opportunities, and a supportive work environment.
- Why this job: Make a real impact on business decisions while working with cutting-edge technologies.
- Qualifications: Experience in data engineering and collaboration with machine learning teams.
- Other info: Join a rapidly growing company with a data-driven culture.
The predicted salary is between 48000 - 72000 £ per year.
A financial technology company in Greater London seeks a Senior Data Engineer to join the data platform team. The ideal candidate will develop robust data systems, working with technologies like GCP, Kafka, and SQL.
Responsibilities include managing the Data Warehouse and collaborating with machine learning teams. The professional will drive a data-driven culture and impact real-world business decisions.
Opportunities to work with cutting-edge technologies and a supportive environment for professional growth are offered. This position promises a rewarding career in a rapidly growing company.
Senior Data Engineer - Real-Time Data Platform & Analytics employer: Curve
Contact Detail:
Curve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Real-Time Data Platform & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with GCP, Kafka, and SQL. This will not only impress but also demonstrate your hands-on expertise.
✨Tip Number 3
Ace the interview by being ready to discuss real-world applications of your work. Think about how you've driven data-driven decisions in past roles and be prepared to share those stories.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer - Real-Time Data Platform & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP, Kafka, and SQL. 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! Tell us why you’re passionate about data engineering and how you can contribute to our data-driven culture. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love seeing how you think critically and drive impactful decisions through data.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Curve
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, Kafka, and SQL. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Data Systems Experience
Prepare examples of robust data systems you’ve developed or managed. Be specific about the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to drive a data-driven culture.
✨Collaborate Like a Pro
Since collaboration with machine learning teams is key, think of instances where you’ve worked cross-functionally. Highlight how you communicated complex data concepts to non-technical stakeholders, as this shows your ability to bridge gaps between teams.
✨Emphasise Growth Mindset
This role offers opportunities for professional growth, so express your eagerness to learn and adapt. Share any recent courses or certifications you’ve pursued related to data engineering or analytics, showing that you’re committed to staying at the forefront of the industry.
