At a Glance
- Tasks: Lead the development of innovative data solutions using Quantexa, Spark, and Scala.
- Company: Join a globally respected consultancy at the forefront of tech innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact by tackling complex business challenges with cutting-edge technology.
- Qualifications: Experience in data engineering, Quantexa solutions, and strong skills in Scala and Python.
The predicted salary is between 48000 - 72000 £ per year.
Work at the Forefront of Technological Innovation. Are you ready to build data solutions that redefine how organisations fight fraud, manage risk, and unlock intelligence from complex data? Join a globally respected consultancy at the forefront of technological innovation. Our Data Engineering team builds high-impact, enterprise-scale Quantexa solutions that address complex business challenges by leveraging advanced data engineering, contextual analytics, and scalable architecture.
If you want to work where cutting-edge technology meets real-world impact, this is your opportunity.
The Role: As a Senior Data Engineer (Quantexa), you will lead the technical development and delivery of sophisticated data solutions for major clients. You will:
- Design and optimise high-performance data ingestion and transformation pipelines using Spark and Scala
- Configure advanced Quantexa components including Entity Resolution, Network Generation, and Scoring
- Translate complex business requirements into scalable, production-ready engineering solutions
- Integrate Quantexa into broader enterprise architectures, working alongside cloud, security, and DevOps teams
- Collaborate closely with Architects, Tech Leads, and senior stakeholders to deliver robust, future-ready platforms
What You’ll Need: Proven experience leading client-facing data engineering and integration projects. Hands-on experience designing and implementing Quantexa solutions. Strong technical expertise in Scala, Python, and Databricks. Deep understanding of scalable data architecture and enterprise integration.
If you’re passionate about advanced data engineering and want to build technology that shapes industries, this is your opportunity.
Apply here or contact r.kelly@ltharper for more information.
Senior Data Engineer - Quantexa, Spark & Scala employer: LT Harper - Cyber Security Recruitment
Join a globally respected consultancy that champions technological innovation and offers a dynamic work culture where collaboration and creativity thrive. As a Senior Data Engineer, you will not only have the opportunity to work with cutting-edge technologies like Quantexa, Spark, and Scala but also benefit from a strong focus on employee growth and development, ensuring you are always at the forefront of your field. With a commitment to making a real-world impact, this role provides a unique chance to contribute to meaningful projects while enjoying a supportive environment that values your contributions.
Contact Details:
LT Harper - Cyber Security Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Quantexa, Spark & Scala
✨Tip Number 1
Network like a pro! Reach out to current employees at Quantexa on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving Spark, Scala, or Quantexa. When you get the chance to chat with recruiters or during interviews, share your work and how it relates to the role.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges or technical interviews. Use platforms like StudySmarter to revise key concepts and practice problem-solving in data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Quantexa.
We think you need these skills to ace Senior Data Engineer - Quantexa, Spark & Scala
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Spark, Scala, and Quantexa. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission of redefining how organisations tackle fraud and manage risk.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with data ingestion and transformation pipelines. We love seeing specific examples of how you've used your technical expertise to solve complex problems in previous roles.
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 this exciting opportunity to work at the forefront of technological innovation!
How to prepare for a job interview at LT Harper - Cyber Security Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Spark, Scala, and Quantexa. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've translated complex business requirements into scalable solutions. Think of examples where your data engineering skills made a real impact, especially in client-facing roles.
✨Collaborate Like a Pro
Since the role involves working with Architects, Tech Leads, and other stakeholders, be ready to discuss your experience in collaborative environments. Highlight how you’ve successfully integrated solutions within broader enterprise architectures.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data engineering and their use of Quantexa. This shows your genuine interest in the role and helps you understand how you can contribute to their innovative projects.
