Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of innovative Quantexa solutions and optimise data pipelines.
- Company: Join KPMG, a leader in technical innovation and community impact.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference by solving complex business challenges with cutting-edge technology.
- Qualifications: Quantexa certification and experience in data engineering required.
- Other info: Dynamic work environment with potential for remote work and flexible hours.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The KPMG Data Engineering function is a cornerstone of our business. We do work that matters to our local business and communities. We support technical innovation and adoption of cutting‑edge solutions across the UK. Working on complex engagements in Quantexa solutions, this team is responsible for the delivery of cutting‑edge technical solutions and trusted to get it right first time.
As a Senior Data Engineer, you will lead the technical development of Quantexa‑based solutions, bringing deep hands‑on experience with data ingestion, transformation, and contextual data modelling. You will collaborate closely with Quantexa Architects, Tech Leads, and client stakeholders to deliver high‑quality solutions that address complex business challenges. You will play a critical role in designing and implementing robust data pipelines, configuring Quantexa components, and supporting the overall success of client engagements.
What will you be doing?
- Develop and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala.
- Configure and implement Quantexa components such as Entity Resolution, Scoring, and Network Generation to support specific use cases.
- Collaborate with Tech Leads and Solution Architects to design scalable and performant Quantexa solutions.
- Translate business and technical requirements into efficient, production‑ready data engineering solutions.
- Support the integration of Quantexa into broader enterprise data architectures, working closely with cloud, security, and DevOps teams.
What will you need to do it?
- Quantexa Technical Certification is required.
- Demonstrable experience in leading client data engineering and integration projects for major clients.
- Hands‑on experience of designing and implementing Quantexa solutions for clients.
- Technical excellence in Scala, Python and Databricks.
- Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains.
- Exposure to DevOps and CI/CD pipelines, including tools such as Jenkins, GitHub Actions, or Azure DevOps.
- Familiarity with containerisation technologies like Docker and Kubernetes.
- Understanding of data governance, data quality frameworks, and enterprise data security standards.
- Bachelor’s or master’s degree in computer science, Data Engineering, or related technical field.
To discuss this or wider Technology roles with our recruitment team, apply, create a profile, upload your CV and begin to make your mark with KPMG. Our core Tech hubs for this role are Birmingham, Leeds, London Canary Wharf, and Manchester. This position will largely be based from London. With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part‑time options. If you have a need for flexibility, please register and discuss this with our team.
Proud member of the Disability Confident employer scheme.
Manager (Quantexa) Snr Data Engineer in Manchester employer: Career Choices Dewis Gyrfa Ltd
Contact Detail:
Career Choices Dewis Gyrfa Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager (Quantexa) Snr Data Engineer in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to Quantexa or data engineering. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios specific to data engineering. Be ready to discuss your hands-on experience with Scala, Spark, and Quantexa solutions. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you can create a profile and keep track of your applications easily.
We think you need these skills to ace Manager (Quantexa) Snr Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Snr Data Engineer. Highlight your experience with Quantexa, Scala, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your hands-on experience with data ingestion, transformation, and any tools like Databricks or Docker. We love seeing candidates who are technically savvy and ready to tackle challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s super easy to create a profile, upload your CV, and get started on your journey with us at KPMG. Let’s make it happen!
How to prepare for a job interview at Career Choices Dewis Gyrfa Ltd
✨Know Your Quantexa Inside Out
Make sure you’re well-versed in Quantexa’s features and functionalities. Brush up on your knowledge of data ingestion, transformation, and contextual data modelling, as these are key areas for the role. Being able to discuss specific use cases and how you've applied Quantexa solutions in past projects will impress the interviewers.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical expertise in Scala, Python, and Databricks. Have examples ready that highlight your experience with data pipelines and CI/CD tools like Jenkins or Azure DevOps. This is your chance to shine, so don’t hold back on showcasing your hands-on experience!
✨Collaborate Like a Pro
Since the role involves working closely with Tech Leads and Solution Architects, be ready to discuss your collaborative experiences. Share examples of how you’ve successfully worked in teams to deliver complex data engineering solutions. Highlighting your ability to communicate effectively with both technical and non-technical stakeholders will set you apart.
✨Understand the Business Context
It’s not just about the tech; understanding the business challenges is crucial. Be prepared to talk about how your technical solutions have addressed real-world problems, especially in Financial Services, Fraud Detection, or KYC domains. This shows that you can translate business needs into effective data engineering solutions.
