At a Glance
- Tasks: Build and scale a global cloud-native Data Lakehouse platform for trading analytics.
- Company: Join a leading firm in financial technology with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and performance.
- Why this job: Make an impact in finance by developing cutting-edge data solutions.
- Qualifications: Strong Python and SQL skills with 5+ years in data engineering.
The predicted salary is between 60000 - 80000 € per year.
We’re hiring a Senior Data Engineer to build and scale a global cloud-native Data Lakehouse platform powering quantitative research and trading analytics at massive scale.
- Build & evolve a large-scale Data Lakehouse (AWS)
- Develop Python-based data pipelines for high-volume financial data
- Design OLAP / distributed data models for analytics & trading use cases
- Optimise performance across multi-region data platforms
- Ensure data quality, reliability, and consistency at scale
- Partner with quants, researchers, and traders on critical data products
Requirements:
- Strong Python + SQL (essential)
- ~5+ years in data engineering / platform engineering
- ~ AWS experience in production data environments
- ~ Experience with data lakes / lakehouse / distributed systems
- ~ Background in financial services, trading, or quantitative environments
Senior Engineer, Data Engineering employer: NJF Global Holdings Ltd
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer, you will play a pivotal role in shaping our global cloud-native Data Lakehouse platform. Our dynamic work culture fosters continuous learning and professional growth, offering you the chance to partner with top-tier quants and researchers in the financial services sector. Located in a vibrant tech hub, we provide competitive benefits and a supportive environment that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with cloud platforms. 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 related to data lakes or distributed systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice solving real-world problems that relate to financial data and analytics, as this will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and AWS. We want to see how your skills align with the role of a Senior Data Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for data engineering and how your background in financial services can contribute to our cloud-native Data Lakehouse platform.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data engineering. We love seeing candidates who can optimise performance and ensure data quality, so share those success stories with us!
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 the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at NJF Global Holdings Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are essential for the role. Brush up on your experience with AWS and data lakes, and be ready to discuss specific projects where you've built or optimised data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering. Think about times when you improved performance or ensured data quality, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Financial Context
Since this role is in a financial services environment, it’s crucial to demonstrate your understanding of trading analytics and quantitative research. Familiarise yourself with relevant terminology and concepts to show you can partner effectively with quants and traders.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
