Overview
As a Senior Data Engineer, you will be a crucial part of a significant data transformation program, leveraging your strong Quantexa expertise to deliver enterprise-scale solutions. You will collaborate closely with Solution Architects, Technical Leads, and client stakeholders, with a focus on designing and implementing data solutions that drive high-impact projects in complex data environments. This role offers the option for hybrid or fully remote work, providing flexibility while working on cutting-edge projects for esteemed organizations.
Responsibilities
- Design, build, and optimise Quantexa data ingestion pipelines using Scala, Spark, and Databricks.
- Configure Quantexa components including Entity Resolution, Scoring, and Network Generation.
- Collaborate with Solution Architects and Technical Leads to deliver scalable, high-performance data solutions.
- Integrate Quantexa into enterprise data platforms with cloud, DevOps, and security teams.
- Support technical delivery ensuring best practices in performance, data quality, and governance.
Requirements
- Proven experience as a Senior Data Engineer delivering Quantexa implementations for enterprise clients.
- Quantexa Technical Certification (or willingness to obtain certification before joining).
- Strong hands-on experience with Scala, Spark, Python, and Databricks.
- Experience delivering projects within Financial Services, Fraud Detection, AML, or KYC environments is highly desirable.
- Eligible for UK Security Clearance (or currently hold active clearance).
- Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), Docker, Kubernetes, and enterprise data governance frameworks is a distinct advantage.