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- Tasks: Design and develop data solutions using Quantexa, Spark, and Scala for impactful business results.
- Company: Join a dynamic Data & AI team in a hybrid London role.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real difference with cutting-edge technology in a collaborative environment.
- Qualifications: Quantexa certification and 6+ years in data engineering required.
- Other info: Mentorship opportunities and agile team culture await you.
The predicted salary is between 48000 - 72000 £ per year.
This role sits within a growing Data & AI delivery team focused on building data-driven solutions that deliver measurable business impact. Quantexa is a core platform used to enable entity resolution, network analytics, and contextual decision intelligence across complex data environments. We are looking for a Senior Data Engineer with strong Quantexa experience to work on large-scale data engineering solutions. You will contribute to solution design, lead hands-on development, and work closely with architects, technical leads, and stakeholders in agile delivery teams.
As a Senior Data Engineer, you will take ownership of the technical development of Quantexa-based solutions. This includes designing and building robust data pipelines, configuring Quantexa components, and translating complex business requirements into scalable, production-ready implementations. You will play a key role in ensuring solution quality, performance, and alignment with wider enterprise data architectures.
Key Responsibilities- Design, develop, and optimise data ingestion pipelines and transformations within the Quantexa platform using Spark and Scala
- Configure and implement Quantexa components, including Entity Resolution, Scoring, and Network Generation, to meet specific use cases
- Collaborate with Solution Architects and Tech Leads to design scalable, high-performance solutions
- Translate business and technical requirements into efficient, maintainable data engineering solutions
- Support the integration of Quantexa within broader enterprise and cloud-based data ecosystems
- Work closely with cloud, security, and DevOps teams to support deployment and operational readiness
- Conduct peer code reviews and promote coding standards and engineering best practices
- Mentor junior engineers and contribute to team capability building and knowledge sharing
- Participate in agile ceremonies, including sprint planning, backlog refinement, and retrospectives
- Contribute to client-facing workshops and technical documentation such as design specs, deployment guides, and runbooks
- Stay up to date with advancements in Quantexa and related Big Data technologies
- Quantexa Technical Certification (mandatory)
- 6+ years' experience in data engineering roles, including 2+ years delivering Quantexa solutions
- Strong hands-on experience with Scala, Apache Spark, and Big Data frameworks (e.g. Hadoop, HDFS)
- Proven experience with core Quantexa capabilities:
- Data Ingestion Pipelines
- Entity Resolution configuration
- Scoring logic implementation
- Contextual Network generation
- Experience delivering Quantexa solutions in Financial Services, Fraud, AML, or KYC environments
- Exposure to DevOps practices and CI/CD tools (e.g. Jenkins, GitHub Actions, Azure DevOps)
- Familiarity with Docker and Kubernetes
- Understanding of data governance, data quality, and enterprise data security standards
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical discipline
Senior Data Architect - Quantexa Certified (Mandatory) employer: PSD Technology Contracts Ltd.
Contact Detail:
PSD Technology Contracts Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect - Quantexa Certified (Mandatory)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Quantexa. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Quantexa projects or any relevant data engineering work. This can really set you apart from the crowd and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and Quantexa-specific scenarios. Practice explaining your thought process and solutions clearly, as communication is key in agile teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Architect - Quantexa Certified (Mandatory)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Quantexa experience and relevant skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements in data engineering!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your experience makes you the perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Since this role requires strong technical expertise, make sure to include specific examples of your work with Scala, Spark, and Quantexa. We want to see your hands-on experience and how you've tackled challenges in past projects.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at PSD Technology Contracts Ltd.
✨Know Your Quantexa Inside Out
Make sure you’re well-versed in Quantexa’s core capabilities, especially around entity resolution and network generation. Brush up on how to configure these components and be ready to discuss specific use cases where you've successfully implemented them.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with Scala and Apache Spark. Have examples ready that demonstrate your ability to design and optimise data ingestion pipelines. Highlight any large-scale projects you've worked on and the impact they had on the business.
✨Collaboration is Key
Since this role involves working closely with architects and tech leads, be prepared to discuss your experience in cross-functional teams. Share examples of how you’ve collaborated in agile environments and contributed to team success through mentoring or knowledge sharing.
✨Stay Current with Tech Trends
Keep yourself updated on the latest advancements in Quantexa and related Big Data technologies. Be ready to discuss how you’ve applied new technologies or practices in your previous roles, especially in relation to cloud platforms like AWS or Azure.
