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- Tasks: Design and develop data solutions using Quantexa, Spark, and Scala for impactful projects.
- Company: Join a forward-thinking tech company focused on data-driven innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for continuous learning.
- Why this job: Make a real impact in data engineering while enhancing your Quantexa expertise.
- Qualifications: Quantexa certification and 6+ years in data engineering with strong Scala skills.
- Other info: Collaborative environment with excellent career growth and mentoring opportunities.
The predicted salary is between 43200 - 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.
This role offers the opportunity to work on high-impact data initiatives using industry-leading technology. You will be part of a collaborative, forward-thinking environment where innovation is encouraged, learning is continuous, and your technical expertise directly influences delivery outcomes. It’s an excellent opportunity to deepen your Quantexa expertise while working on complex, real-world use cases.
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) in London 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) in London
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, or conferences related to data engineering and Quantexa. You never know who you might bump into that could help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Quantexa projects and data engineering solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and Quantexa-specific scenarios. Practise explaining your thought process and how you've tackled challenges in past projects.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Architect - Quantexa Certified (Mandatory) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Quantexa experience and relevant data engineering skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how your expertise can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: When filling out your application, emphasise your hands-on experience with Scala, Spark, and other Big Data frameworks. We’re looking for solid examples of how you’ve tackled complex data challenges in the past.
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. Don’t miss out!
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 analytics. Brush up on how to configure its components and be ready to discuss specific use cases where you've successfully implemented these features.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with data ingestion pipelines and transformations using Spark and Scala. Have examples ready that demonstrate your ability to design scalable solutions and optimise performance, as this will be crucial for the role.
✨Collaboration is Key
Since this role involves working closely with architects and tech leads, be prepared to discuss your experience in cross-functional teams. Highlight any agile methodologies you’ve used and how you’ve contributed to team success through collaboration and mentoring.
✨Stay Current with Industry Trends
Keep yourself updated on the latest advancements in Quantexa and related Big Data technologies. Being able to discuss recent developments or trends in the industry can show your passion and commitment to continuous learning, which is highly valued.
