Senior Data Engineer: Quantexa Pipelines (Remote)

Career Choices Dewis Gyrfa Ltd; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading professional services firm in the UK is seeking a Senior Data Engineer to lead the technical development of Quantexa-based solutions. This role requires hands-on experience with data ingestion, transformation, and contextual data modelling. The successful candidate will work closely with architects and clients to design and implement robust data pipelines and integrate Quantexa into enterprise architectures. Competitive flexibility in work arrangements including office and remote options will be supported.

Benefits

Flexible working hours

Part-time options

Work from home

Qualifications

• Quantexa Technical Certification is required.
• Demonstrable experience in leading client data engineering and integration projects.
• Hands-on experience of designing and implementing Quantexa solutions.
• Experience in Financial Services, Fraud Detection, AML, or KYC domains.

Responsibilities

• Develop and optimise data ingestion pipelines using Spark and Scala.
• Configure and implement Quantexa components for specific use cases.
• Collaborate with Tech Leads to design scalable Quantexa solutions.
• Support the integration of Quantexa into enterprise data architectures.

Skills

Quantexa Technical Certification

Technical excellence in Scala

Technical excellence in Python

Experience with Databricks

Experience in Financial Services

Exposure to DevOps

Familiarity with Docker

Familiarity with Kubernetes

Understanding of data governance

Education

Bachelor's or master's degree in computer science

Degree in Data Engineering or related technical field

Tools

Spark

Jenkins

GitHub Actions

Azure DevOps

Job description

A leading professional services firm in the UK is seeking a Senior Data Engineer to lead the technical development of Quantexa-based solutions. This role requires hands-on experience with data ingestion, transformation, and contextual data modelling. The successful candidate will work closely with architects and clients to design and implement robust data pipelines and integrate Quantexa into enterprise architectures. Competitive flexibility in work arrangements including office and remote options will be supported.