At a Glance
- Tasks: Design and maintain scalable data pipelines using Scala and advanced analytics.
- Company: Join a leading banking client in a dynamic, hybrid work environment.
- Benefits: Flexible working model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with a new team and contribute to innovative data solutions.
- Why this job: Make an impact by enabling insights from complex datasets in financial services.
- Qualifications: Experience with Scala, data processing frameworks, and Quantexa is a plus.
The predicted salary is between 60000 - 80000 € per year.
Hybrid Working - London - 1-2 days a week on site.
Financial Services
Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project. The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa. You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets. This role is based in London and will be via Umbrella.
Key Skills and Experience
- Experienced in design, develop, and maintain scalable data pipelines using Scala/Java and modern distributed data processing frameworks.
- Build and optimize graph-based data models to analyse relationships, networks, and dependencies across large datasets.
- Experienced with using and working with Quantexa is highly advantageous.
- Implement graph analytics algorithms (e.g. centrality, community detection, path analysis) to support advanced analytical use cases.
- Perform complex data wrangling and transformation on structured and semi-structured data.
- Develop and maintain scripts (e.g. Scala) to automate data ingestion, validation, and processing tasks.
- Ensure data quality, reliability, and performance across data workflows.
- Collaborate with stakeholders to translate business requirements into robust data solutions.
- Contribute to data architecture, best practices, and documentation.
- Monitor and troubleshoot data pipelines in production environments.
- Experience of working within financial services environments.
Data Engineer (Quantexa) in London employer: Lorien
Join a forward-thinking financial services firm in London, where innovation meets collaboration. As a Data Engineer, you'll thrive in a hybrid work environment that promotes flexibility and work-life balance, while also benefiting from a culture that prioritises professional development and cutting-edge technology. With opportunities to work alongside talented data scientists and analysts, you'll play a crucial role in shaping data solutions that drive impactful insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Quantexa) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Quantexa or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or GitHub repos showcasing your Scala and data pipeline work, make sure to highlight them during interviews. It’s all about proving you can walk the walk!
✨Tip Number 3
Prepare for technical questions! Brush up on graph analytics algorithms and be ready to discuss how you've tackled complex data wrangling in the past. Confidence in your knowledge will impress the interviewers.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you ace your application and connect with the right people. Don’t miss out on the chance to land that Data Engineer role with us!
We think you need these skills to ace Data Engineer (Quantexa) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Scala, data pipelines, and Quantexa. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in financial services makes you a great fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you’re well-versed in Scala and any modern distributed data processing frameworks. Brush up on your knowledge of Quantexa, as it’s a key part of the role. Be ready to discuss specific projects where you've designed and maintained scalable data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data wrangling and transformation tasks in the past. Think of examples where you implemented graph analytics algorithms and how they benefited your previous projects. This will demonstrate your analytical mindset.
✨Collaboration is Key
Since you'll be working closely with data scientists and analysts, be prepared to discuss how you’ve collaborated with cross-functional teams before. Highlight any experiences where you translated business requirements into data solutions, as this shows your ability to communicate effectively.
✨Be Ready for Real-World Scenarios
Expect some scenario-based questions that test your troubleshooting skills in production environments. Think about how you would monitor and ensure the quality and reliability of data workflows. This will show that you can handle the pressures of a fast-paced financial services environment.
