Senior Data Architect - Quantexa Certified (Mandatory)

Job Title: Senior Data Architect - Quantexa Certified (Mandatory)

Contract Length: 12 months
Location: London - Hybrid

(Candidates must reside in the UK and have the right to work in the UK)

Overview

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.

The Role

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.

Why Join?

This role offers the opportunity to work on high-impact data initiatives using industry-leading technology. You'll 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

Required Skills & Experience

• 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 (eg Hadoop, HDFS)

• Proven experience with core Quantexa capabilities:

• Data Ingestion Pipelines

• Entity Resolution configuration

• Scoring logic implementation

• Contextual Network generation

• Solid understanding of distributed systems, data modelling, and performance optimisation

• Ability to write clean, production-grade, maintainable code

• Strong communication skills and experience working in cross-functional agile teams

• Experience working with cloud platforms such as AWS, Azure, or GCP

• Familiarity with Git, CI/CD pipelines, and build automation tools

Preferred Qualifications

• Experience delivering Quantexa solutions in Financial Services, Fraud, AML, or KYC environments

• Exposure to DevOps practices and CI/CD tools (eg 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