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 engineering.
- 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 employer: NJF Global Holdings Ltd
NJF Global Holdings Ltd is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets collaboration. 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. Our inclusive culture fosters creativity and teamwork, making it an ideal place for those looking to make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Lakehouse & Quant Analytics
✨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
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 Inside Out
Make sure you brush up on your Python skills and get comfortable with big data tools like Spark and Kafka. Be ready to discuss how you've used these technologies in past projects, especially in financial services or quantitative environments.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you tackled them. This could involve discussing how you ensured data quality for trading analytics or optimised data pipelines.
✨Understand the Company’s Vision
Do a bit of homework on NJF Global Holdings Ltd and their Data Lakehouse platform. Understanding their goals and how your role fits into their strategy will help you stand out as a candidate who is genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack they use, and future projects. This shows that you're not just interested in the job, but also in how you can grow and contribute within the company.
