At a Glance
- Tasks: Build and scale a global cloud-native Data Lakehouse platform using Python.
- Company: Join NJF Global Holdings Ltd, a leader in financial data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make an impact in the finance sector with cutting-edge data technology.
- Qualifications: 5+ years in data engineering, skilled in Spark and Kafka.
The predicted salary is between 60000 - 80000 € per year.
NJF Global Holdings Ltd is seeking a Senior Data Engineer in Greater London to build and scale a global cloud-native Data Lakehouse platform.
Responsibilities include:
- Developing Python-based data pipelines
- Ensuring data quality for trading analytics
The ideal candidate will have:
- Over 5 years of experience in data engineering
- Proficiency with big data tools such as Spark and Kafka
- A background in financial services or quantitative environments
Senior Data Engineer - Lakehouse & Quant Analytics in London employer: NJF Global Holdings Ltd
NJF Global Holdings Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like cloud-native platforms and big data tools. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Lakehouse & Quant Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those in financial services. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python-based data pipelines and any projects using Spark or Kafka. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for technical interviews by brushing up on your big data tools and analytics concepts. Practice coding challenges and be ready to discuss your past projects in detail – we want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer - Lakehouse & Quant Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, Spark, and Kafka. We want to see how your skills align with building a cloud-native Data Lakehouse platform, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background in financial services or quantitative environments makes you the perfect fit for our team.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data quality and analytics. We love seeing candidates who can think critically and innovate solutions, especially in trading analytics!
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 NJF Global Holdings Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the big data tools mentioned in the job description, like Spark and Kafka. Brush up on your Python skills too, as you'll likely be asked to discuss how you've used these technologies in past projects.
✨Showcase Your Experience
With over 5 years of experience required, prepare specific examples from your previous roles that highlight your expertise in data engineering. Be ready to discuss challenges you faced and how you overcame them, especially in financial services or quantitative environments.
✨Understand Data Quality
Since ensuring data quality is a key responsibility, think about how you’ve implemented data validation and cleaning processes in your past work. Be prepared to explain your approach and any tools you’ve used to maintain high data standards.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data lakehouse platform and their analytics goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
