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 pay, 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.
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 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) employer: Lorien
Join a dynamic and innovative team at Lorien, where we prioritise employee growth and collaboration in the heart of London. With a hybrid working model, you will enjoy the flexibility of working 1-2 days on-site while engaging in cutting-edge projects within the financial services sector. Our supportive work culture fosters continuous learning and development, making it an excellent place for data engineers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Quantexa)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Quantexa or in financial services. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Scala and data pipelines. Share specific examples of projects you've worked on, especially those involving graph analytics or Quantexa. We want to see your passion and expertise shine through!
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s needs and how your skills can help them achieve their goals. This shows that you're not just another candidate; you're the right fit for their team. We love seeing candidates who are genuinely interested in what we do!
✨Follow Up
After an interview, don’t forget to send a quick thank-you note. It’s a simple gesture that keeps you fresh in their minds. Plus, it shows your enthusiasm for the role. Remember, we appreciate candidates who take that extra step!
We think you need these skills to ace Data Engineer (Quantexa)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Scala and data pipelines. We want to see how you've designed and maintained scalable solutions, so don’t hold back on those details!
Showcase Your Skills:In your cover letter, emphasise your familiarity with Quantexa and graph analytics. We’re looking for someone who can dive into complex datasets, so let us know how you’ve tackled similar challenges before.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us at StudySmarter.
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 Analytical Skills
Prepare to talk about your experience with graph analytics algorithms like centrality and community detection. Have examples ready that demonstrate how you've applied these techniques to solve real-world problems, especially in financial services.
✨Collaboration is Key
This role involves working closely with data scientists and analysts, so be prepared to discuss how you’ve collaborated with cross-functional teams in the past. Highlight any experiences where you translated business requirements into data solutions.
✨Be Ready for Problem-Solving Questions
Expect some technical questions that test your troubleshooting skills. Think of scenarios where you monitored and resolved issues in data pipelines. Being able to articulate your thought process will show your problem-solving abilities.
