Overview
In this role you will design and implement robust data pipelines and configure Quantexa components to support client engagements. You will lead the technical development of Quantexa-based solutions and oversee data engineering or integration projects for established clients. The position sits within a high-profile team that partners with a prestigious brand, offering strong training and clear career progression. You will work on enterprise-scale data solutions, shaping how clients extract value from complex datasets. This is a hybrid, Manchester-based opportunity with a focus on impact and growth.
Pay / Benefits
- Car
- Pension
- Benefits
Responsibilities
- lead the technical development of Quantexa-based solutions
- design and implement robust data pipelines
- configure Quantexa components
- support client engagements and data integration projects
- collaborate with cross-functional teams to deliver client-ready solutions
Key requirements
- Certified Senior Quantexa Data Engineer with experience designing/implementing Quantexa solutions
- proven track record leading client data engineering or integration projects
- strong knowledge of Spark, Scala, and Python Databricks
- DevOps/CI/CD experience (beneficial: Jenkins, GitHub Actions, Azure DevOps)
- familiarity with Docker and Kubernetes (training provided)
- leadership
- client-facing communication
- collaboration
- Quantexa
- Spark
- Scala
…
